[UDEMY] Python for Data Science and Machine Learning Bootcamp (UPDATED 17 NOV 2019)

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[UDEMY] Python for Data Science and Machine Learning Bootcamp (UPDATED 17 NOV 2019)

Torrent Contents Size: 5.2 GB

[UDEMY] Python for Data Science and Machine Learning Bootcamp (UPDATED 17 NOV 2019)
▼ show more 286 files
1. Bias Variance Trade-Off.mp4
MP4
12.9 MB
1. Bias Variance Trade-Off.srt
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9.7 KB
1. Bonus Lecture.html
HTML
512 B
1. Introduction to Geographical Plotting.mp4
MP4
2.2 MB
1. Introduction to Geographical Plotting.srt
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1.4 KB
1. Introduction to Plotly and Cufflinks.mp4
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15.6 MB
1. Introduction to Plotly and Cufflinks.srt
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5.5 KB
1. Introduction to Seaborn.mp4
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11.6 MB
1. Introduction to Seaborn.srt
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4.5 KB
1. Introduction to Tree Methods.mp4
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13.5 MB
1. Introduction to Tree Methods.srt
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9.9 KB
1. Introduction to the Course.mp4
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43 MB
1. Introduction to the Course.srt
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5.9 KB
1. K Means Algorithm Theory.mp4
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11 MB
1. K Means Algorithm Theory.srt
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7.5 KB
1. KNN Theory.mp4
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11.2 MB
1. KNN Theory.srt
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8 KB
1. Linear Regression Theory.mp4
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9.9 MB
1. Linear Regression Theory.srt
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6.7 KB
1. Logistic Regression Theory.mp4
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23.5 MB
1. Logistic Regression Theory.srt
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17.3 KB
1. Natural Language Processing Theory.mp4
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9.8 MB
1. Natural Language Processing Theory.srt
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7 KB
1. Note on SF Salary Exercise.html
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512 B
1. Pandas Built-in Data Visualization.mp4
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36.9 MB
1. Pandas Built-in Data Visualization.srt
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20.8 KB
1. Principal Component Analysis.mp4
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7.1 MB
1. Principal Component Analysis.srt
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4.9 KB
1. Python Environment Setup.mp4
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76.3 MB
1. Python Environment Setup.srt
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20 KB
1. Recommender Systems.mp4
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9.1 MB
1. Recommender Systems.srt
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6.7 KB
1. SVM Theory.mp4
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9.9 MB
1. SVM Theory.srt
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6.6 KB
1. TensorFlow Installation.mp4
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91.9 MB
1. TensorFlow Installation.srt
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38.7 KB
1. Updates to Notebook Zip.html
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204.8 B
1. Welcome to the Big Data Section!.mp4
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14.2 MB
1. Welcome to the Big Data Section!.srt
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716.8 B
1. Welcome to the Data Capstone Projects!.mp4
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11 MB
1. Welcome to the Data Capstone Projects!.srt
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614.4 B
1. Welcome to the Data Visualization Section!.mp4
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14.3 MB
1. Welcome to the Data Visualization Section!.srt
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716.8 B
1. Welcome to the Deep Learning Section!.mp4
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13.4 MB
1. Welcome to the Deep Learning Section!.srt
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716.8 B
1. Welcome to the Machine Learning Section!.mp4
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19.5 MB
1. Welcome to the Machine Learning Section!.srt
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1 KB
1. Welcome to the NumPy Section!.mp4
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15.4 MB
1. Welcome to the NumPy Section!.srt
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307.2 B
1. Welcome to the Pandas Section!.mp4
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9.1 MB
1. Welcome to the Pandas Section!.srt
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512 B
1. Welcome to the Python Crash Course Section!.mp4
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10.7 MB
1. Welcome to the Python Crash Course Section!.srt
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512 B
1.1 Link to Seaborn Documentation (updated).html
HTML
102.4 B
1.1 Py-DS-ML-Bootcamp-master.zip.zip
ZIP
52.5 MB
10. Deep Learning Project - Solutions.mp4
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94.6 MB
10. Deep Learning Project - Solutions.srt
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15 KB
10. Lambda Expressions Review.mp4
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10.3 MB
10. Lambda Expressions Review.srt
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7.9 KB
10. Operations.mp4
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27.4 MB
10. Operations.srt
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17.8 KB
11. Data Input and Output.mp4
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44.5 MB
11. Data Input and Output.srt
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44.5 MB
11. Introduction to Spark and Python.mp4
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18.1 MB
11. Introduction to Spark and Python.srt
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12.1 KB
12. RDD Transformations and Actions.mp4
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70.8 MB
12. RDD Transformations and Actions.srt
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32.3 KB
2. 911 Calls Project Overview.mp4
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11.4 MB
2. 911 Calls Project Overview.srt
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3.6 KB
2. Big Data Overview.mp4
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11.3 MB
2. Big Data Overview.srt
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7.8 KB
2. Choropleth Maps - Part 1 - USA.mp4
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55 MB
2. Choropleth Maps - Part 1 - USA.srt
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26.3 KB
2. Course Help and Welcome.mp4
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22.1 MB
2. Course Help and Welcome.srt
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1.1 KB
2. Decision Trees and Random Forest with Python.mp4
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49.1 MB
2. Decision Trees and Random Forest with Python.srt
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49.1 MB
2. Distribution Plots.mp4
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61.7 MB
2. Distribution Plots.srt
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28.5 KB
2. Introduction to Matplotlib.mp4
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16.3 MB
2. Introduction to Matplotlib.srt
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5.2 KB
2. Introduction to Numpy.mp4
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4.7 MB
2. Introduction to Numpy.srt
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3.3 KB
2. Introduction to Pandas.mp4
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3.5 MB
2. Introduction to Pandas.srt
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2. Introduction to Python Crash Course.mp4
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3 MB
2. Introduction to Python Crash Course.srt
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2. Jupyter Notebooks.mp4
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37.8 MB
2. Jupyter Notebooks.srt
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22.7 KB
2. K Means with Python.mp4
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34.6 MB
2. K Means with Python.srt
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17.4 KB
2. KNN with Python.mp4
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54.7 MB
2. KNN with Python.srt
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26.7 KB
2. Link for ISLR.html
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409.6 B
2. Logistic Regression with Python - Part 1.mp4
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49 MB
2. Logistic Regression with Python - Part 1.srt
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26.2 KB
2. MNIST with Multi-Layer Perceptron - Part 1.mp4
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25.2 MB
2. MNIST with Multi-Layer Perceptron - Part 1.srt
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17.5 KB
2. NLP with Python - Part 1.mp4
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47.4 MB
2. NLP with Python - Part 1.srt
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22.1 KB
2. Neural Network Theory.mp4
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14.5 MB
2. Neural Network Theory.srt
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10 KB
2. PCA with Python.mp4
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49.8 MB
2. PCA with Python.srt
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23.5 KB
2. Pandas Data Visualization Exercise.mp4
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6.5 MB
2. Pandas Data Visualization Exercise.srt
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2.3 KB
2. Plotly and Cufflinks.mp4
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62.6 MB
2. Plotly and Cufflinks.srt
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27.7 KB
2. Recommender Systems with Python - Part 1.mp4
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43.4 MB
2. Recommender Systems with Python - Part 1.srt
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19.4 KB
2. SF Salaries Exercise Overview.mp4
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8.3 MB
2. SF Salaries Exercise Overview.srt
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3.4 KB
2. Support Vector Machines with Python.mp4
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56.1 MB
2. Support Vector Machines with Python.srt
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24.8 KB
2. model_selection Updates for SciKit Learn 0.18.html
HTML
819.2 B
2.1 Py-DS-ML-Bootcamp-master.zip.zip
ZIP
52.5 MB
2.1 Python DS Presentations.zip.zip
ZIP
2.8 MB
2.2 ISLR 6th Edition PDF (Machine Learning Textbook).html
HTML
102.4 B
3. 911 Calls Solutions - Part 1.mp4
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49.2 MB
3. 911 Calls Solutions - Part 1.srt
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20.9 KB
3. Categorical Plots.mp4
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44.4 MB
3. Categorical Plots.srt
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26 KB
3. Choropleth Maps - Part 2 - World.mp4
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24.4 MB
3. Choropleth Maps - Part 2 - World.srt
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8.9 KB
3. Course FAQs.html
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5.3 KB
3. Decision Trees and Random Forest Project Overview.mp4
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15.4 MB
3. Decision Trees and Random Forest Project Overview.srt
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5 KB
3. Introduction to Machine Learning.mp4
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37.6 MB
3. Introduction to Machine Learning.srt
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17.1 KB
3. K Means Project Overview.mp4
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11.6 MB
3. K Means Project Overview.srt
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4.8 KB
3. KNN Project Overview.mp4
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7.1 MB
3. KNN Project Overview.srt
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2.2 KB
3. Linear Regression with Python - Part 1.mp4
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52.3 MB
3. Linear Regression with Python - Part 1.srt
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26.1 KB
3. Logistic Regression with Python - Part 2.mp4
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38.8 MB
3. Logistic Regression with Python - Part 2.srt
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38.8 MB
3. MNIST with Multi-Layer Perceptron - Part 2.mp4
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45.2 MB
3. MNIST with Multi-Layer Perceptron - Part 2.srt
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22.7 KB
3. Matplotlib Part 1.mp4
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41.6 MB
3. Matplotlib Part 1.srt
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25.1 KB
3. NLP with Python - Part 2.mp4
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49.1 MB
3. NLP with Python - Part 2.srt
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49.1 MB
3. Numpy Arrays.mp4
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38.1 MB
3. Numpy Arrays.srt
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72.6 MB
3. Optional Virtual Environments.mp4
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21.8 MB
3. Optional Virtual Environments.srt
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15.4 KB
3. Pandas Data Visualization Exercise- Solutions.mp4
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35.9 MB
3. Pandas Data Visualization Exercise- Solutions.srt
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13.3 KB
3. Python Crash Course - Part 1.mp4
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40.2 MB
3. Python Crash Course - Part 1.srt
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27.3 KB
3. Recommender Systems with Python - Part 2.mp4
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39.4 MB
3. Recommender Systems with Python - Part 2.srt
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17.1 KB
3. SF Salaries Solutions.mp4
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51.8 MB
3. SF Salaries Solutions.srt
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20.7 KB
3. SVM Project Overview.mp4
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11.2 MB
3. SVM Project Overview.srt
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3.8 KB
3. Series.mp4
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22.7 MB
3. Series.srt
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15.5 KB
3. Spark Overview.mp4
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17.5 MB
3. Spark Overview.srt
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13.6 KB
3. What is TensorFlow.mp4
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32.8 MB
3. What is TensorFlow.srt
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8.8 KB
3.1 Link for ISLR.html
HTML
102.4 B
3.1 Py_DS_ML_Bootcamp-master.zip.zip
ZIP
52.5 MB
3.1 Updated Link to Manage Environments with Conda.html
HTML
102.4 B
4. 911 Calls Solutions - Part 2.mp4
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58.8 MB
4. 911 Calls Solutions - Part 2.srt
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26.5 KB
4. Choropleth Exercises.mp4
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12.9 MB
4. Choropleth Exercises.srt
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5.7 KB
4. DataFrames - Part 1.mp4
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45.6 MB
4. DataFrames - Part 1.srt
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21.3 KB
4. Decision Trees and Random Forest Solutions Part 1.mp4
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36.7 MB
4. Decision Trees and Random Forest Solutions Part 1.srt
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200.2 MB
4. Ecommerce Purchases Exercise Overview.mp4
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8.8 MB
4. Ecommerce Purchases Exercise Overview.srt
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3.8 KB
4. Installing Tensorflow 1.10.mp4
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7.3 MB
4. Installing Tensorflow 1.10.srt
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3 KB
4. K Means Project Solutions.mp4
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56.7 MB
4. K Means Project Solutions.srt
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22.7 KB
4. KNN Project Solutions.mp4
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70.9 MB
4. KNN Project Solutions.srt
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19.2 KB
4. Linear Regression with Python - Part 2.mp4
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19.3 MB
4. Linear Regression with Python - Part 2.srt
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10.1 KB
4. Local Spark Set-Up.html
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1.6 KB
4. Logistic Regression with Python - Part 3.mp4
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20 MB
4. Logistic Regression with Python - Part 3.srt
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11.8 KB
4. MNIST with Multi-Layer Perceptron - Part 3.mp4
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56.7 MB
4. MNIST with Multi-Layer Perceptron - Part 3.srt
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91.2 MB
4. Machine Learning with Python.mp4
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18.8 MB
4. Machine Learning with Python.srt
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14.2 KB
4. Matplotlib Part 2.mp4
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35.5 MB
4. Matplotlib Part 2.srt
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21.5 KB
4. Matrix Plots.mp4
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25.4 MB
4. Matrix Plots.srt
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14.5 KB
4. NLP with Python - Part 3.mp4
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43.5 MB
4. NLP with Python - Part 3.srt
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23.9 KB
4. Python Crash Course - Part 2.mp4
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32.2 MB
4. Python Crash Course - Part 2.srt
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22.5 KB
4. Quick Note on Array Indexing.html
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1 KB
4. SVM Project Solutions.mp4
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33.6 MB
4. SVM Project Solutions.srt
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13.2 KB
5. AWS Account Set-Up.mp4
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13.1 MB
5. AWS Account Set-Up.srt
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6.8 KB
5. Bank Data.html
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409.6 B
5. Choropleth Exercises - Solutions.mp4
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33.5 MB
5. Choropleth Exercises - Solutions.srt
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13.9 KB
5. DataFrames - Part 2.mp4
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49.9 MB
5. DataFrames - Part 2.srt
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25 KB
5. Decision Trees and Random Forest Solutions Part 2.mp4
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32.3 MB
5. Decision Trees and Random Forest Solutions Part 2.srt
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12.1 KB
5. Ecommerce Purchases Exercise Solutions.mp4
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52 MB
5. Ecommerce Purchases Exercise Solutions.srt
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21.3 KB
5. Grids.mp4
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24 MB
5. Grids.srt
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12.7 KB
5. Linear Regression Project Overview.mp4
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14.2 MB
5. Linear Regression Project Overview.srt
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4 KB
5. Logistic Regression Project Overview.mp4
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6.7 MB
5. Logistic Regression Project Overview.srt
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2.6 KB
5. Matplotlib Part 3.mp4
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31.9 MB
5. Matplotlib Part 3.srt
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17.7 KB
5. NLP Project Overview.mp4
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8.4 MB
5. NLP Project Overview.srt
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3.6 KB
5. Numpy Array Indexing.mp4
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42.3 MB
5. Numpy Array Indexing.srt
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25.1 KB
5. Python Crash Course - Part 3.mp4
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35.8 MB
5. Python Crash Course - Part 3.srt
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23.2 KB
5. TensorFlow Basics.mp4
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36.6 MB
5. TensorFlow Basics.srt
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21.4 KB
5. TensorFlow with ContribLearn.mp4
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23.8 MB
5. TensorFlow with ContribLearn.srt
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12.9 KB
5.1 Amazon Guide to Creating an AWS Account.html
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102.4 B
5.1 Download all_banks pickle file from this link.html
HTML
102.4 B
6. DataFrames - Part 3.mp4
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24.3 MB
6. DataFrames - Part 3.srt
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12.5 KB
6. Finance Data Project Overview.mp4
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16.4 MB
6. Finance Data Project Overview.srt
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5.4 KB
6. Linear Regression Project Solution.mp4
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56.5 MB
6. Linear Regression Project Solution.srt
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26.1 KB
6. Logistic Regression Project Solutions.mp4
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36.7 MB
6. Logistic Regression Project Solutions.srt
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14.7 KB
6. MNIST - Part One.mp4
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58.4 MB
6. MNIST - Part One.srt
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68.4 MB
6. Matplotlib Exercises Overview.mp4
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7.7 MB
6. Matplotlib Exercises Overview.srt
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2.6 KB
6. NLP Project Solutions.mp4
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57.7 MB
6. NLP Project Solutions.srt
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57.7 MB
6. Numpy Operations.mp4
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30.1 MB
6. Numpy Operations.srt
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10.9 KB
6. Python Crash Course - Part 4.mp4
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32.5 MB
6. Python Crash Course - Part 4.srt
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21.3 KB
6. Quick Note on AWS Security.html
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6. Regression Plots.mp4
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18 MB
6. Regression Plots.srt
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6. Tensorflow Project Exercise Overview.mp4
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40.6 MB
6. Tensorflow Project Exercise Overview.srt
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7. EC2 Instance Set-Up.mp4
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86.5 MB
7. EC2 Instance Set-Up.srt
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7. Finance Project - Solutions Part 1.mp4
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60.5 MB
7. Finance Project - Solutions Part 1.srt
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7. MNIST - Part Two.mp4
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94.1 MB
7. MNIST - Part Two.srt
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7. Matplotlib Exercises - Solutions.mp4
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32.8 MB
7. Matplotlib Exercises - Solutions.srt
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7. Missing Data.mp4
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13.7 MB
7. Missing Data.srt
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7. Numpy Exercises Overview.mp4
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12.2 MB
7. Numpy Exercises Overview.srt
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7. Python Crash Course Exercises - Overview.mp4
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12.2 MB
7. Python Crash Course Exercises - Overview.srt
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7. Style and Color.mp4
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22.7 MB
7. Style and Color.srt
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7. Tensorflow Project Exercise - Solutions.mp4
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52.7 MB
7. Tensorflow Project Exercise - Solutions.srt
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7.1 Amazon Guide to Using PuTTY for Windows SSH.html
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102.4 B
8. Finance Project - Solutions Part 2.mp4
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55.8 MB
8. Finance Project - Solutions Part 2.srt
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8. Groupby.mp4
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8. Groupby.srt
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8. Numpy Exercises Solutions.mp4
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46.2 MB
8. Numpy Exercises Solutions.srt
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8. Python Crash Course Exercises - Solutions.mp4
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34.4 MB
8. Python Crash Course Exercises - Solutions.srt
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8. SSH with Mac or Linux.mp4
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10.9 MB
8. SSH with Mac or Linux.srt
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8. Seaborn Exercise Overview.mp4
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8.3 MB
8. Seaborn Exercise Overview.srt
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8.3 MB
8. Tensorflow Estimators.mp4
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156.6 MB
8. Tensorflow Estimators.srt
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30.4 KB
8.1 Amazon Guide to SSH with Mac.html
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102.4 B
9. Deep Learning Project.mp4
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28.2 MB
9. Deep Learning Project.srt
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9. Finance Project - Solutions Part 3.mp4
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19.9 MB
9. Finance Project - Solutions Part 3.srt
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9. Merging Joining and Concatenating.mp4
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30.4 MB
9. Merging Joining and Concatenating.srt
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9. PySpark Setup.mp4
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70.6 MB
9. PySpark Setup.srt
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9. Seaborn Exercise Solutions.mp4
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24.2 MB
9. Seaborn Exercise Solutions.srt
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9.1 Step by Step Guide for PySpark Set-up.html
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204.8 B

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