Udemy - Complete Python Data Science, Deep Learning, R Programming

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Udemy - Complete Python Data Science, Deep Learning, R Programming

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Udemy - Complete Python Data Science, Deep Learning, R Programming
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1. AI, Machine Learning and Deep Learning.mp4
MP4
16.2 MB
1. AI, Machine Learning and Deep Learning.srt
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5.5 KB
1. Analyse Data With Different Data Sets Titanic Project.mp4
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10 MB
1. Analyse Data With Different Data Sets Titanic Project.srt
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4.3 KB
1. Arrays in r programming.mp4
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28 MB
1. Arrays in r programming.srt
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4.5 KB
1. Be Smart and Use Data But How Answer is Data Science with Python.mp4
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13.7 MB
1. Be Smart and Use Data But How Answer is Data Science with Python.srt
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5.5 KB
1. Complete Python Data Science, Deep Learning, R Programming.html
HTML
307.2 B
1. Data Frame Attributes and Methods.mp4
MP4
79.8 MB
1. Data Frame Attributes and Methods.srt
SRT
15.4 KB
1. Data Types in Python.mp4
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41.1 MB
1. Data Types in Python.srt
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13.5 KB
1. Downloading and Installing R & R Studio.mp4
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25 MB
1. Downloading and Installing R & R Studio.srt
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4.4 KB
1. Getting Data into R.mp4
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36.8 MB
1. Getting Data into R.srt
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7.2 KB
1. Installing Anaconda for Windows.mp4
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40.1 MB
1. Installing Anaconda for Windows.srt
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6 KB
1. Introduction to Data Frames.mp4
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71 MB
1. Introduction to Data Frames.srt
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6.7 KB
1. Introduction to Data Transformation.mp4
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76.2 MB
1. Introduction to Data Transformation.srt
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1. Introduction to Factors in R.mp4
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34.6 MB
1. Introduction to Factors in R.srt
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4.6 KB
1. Lists in R.mp4
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43.3 MB
1. Lists in R.srt
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5.7 KB
1. Logic of Object Oriented Programming.mp4
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16.4 MB
1. Logic of Object Oriented Programming.srt
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5.1 KB
1. Matrices in R programming.mp4
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50 MB
1. Matrices in R programming.srt
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6.6 KB
1. Project - 1.mp4
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101.6 MB
1. Project - 1.srt
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20 KB
1. Understanding RNN and LSTM Networks.mp4
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50.9 MB
1. Understanding RNN and LSTM Networks.srt
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14.6 KB
1. Vector Basics in R.mp4
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42 MB
1. Vector Basics in R.srt
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5.4 KB
1. What Is Data Science.mp4
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20.2 MB
1. What Is Data Science.srt
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6.5 KB
1. What is Artificial Neural Network (ANN).mp4
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23 MB
1. What is Artificial Neural Network (ANN).srt
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8.1 KB
1. What is CNN.mp4
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72.4 MB
1. What is CNN.srt
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17.2 KB
1. What is Geoplotlib.mp4
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32.2 MB
1. What is Geoplotlib.srt
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10.2 KB
1. What is Matplotlib.mp4
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17.9 MB
1. What is Matplotlib.srt
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3.5 KB
1. What is Numpy.mp4
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26.7 MB
1. What is Numpy.srt
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7.3 KB
1. What is Pandas.mp4
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20.1 MB
1. What is Pandas.srt
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6.3 KB
1. What is Seaborn.mp4
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12.9 MB
1. What is Seaborn.srt
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5 KB
1. What is Transfer Learning.mp4
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85.3 MB
1. What is Transfer Learning.srt
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18.7 KB
1.1 Project - I - Questions.txt
TXT
819.2 B
1.2 Titanic.csv
CSV
57.4 KB
10. Combining Data Frames Part – II.mp4
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84.2 MB
10. Combining Data Frames Part – II.srt
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17.2 KB
10. Exercise Solution in Python.mp4
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47.7 MB
10. Exercise Solution in Python.srt
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6.3 KB
10. Quiz.html
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204.8 B
10. Supervised Machine Learning Methods - 3.mp4
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56.1 MB
10. Supervised Machine Learning Methods - 3.srt
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11. Quiz.html
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204.8 B
11. Supervised Machine Learning Methods - 4.mp4
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70.3 MB
11. Supervised Machine Learning Methods - 4.srt
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11. Work with Dataset Files in Pandas.mp4
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70.8 MB
11. Work with Dataset Files in Pandas.srt
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11.6 KB
12. Quiz.html
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204.8 B
12. Unsupervised Machine Learning Methods.mp4
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87.9 MB
12. Unsupervised Machine Learning Methods.srt
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13. Gathering data in Deep learning.mp4
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17.6 MB
13. Gathering data in Deep learning.srt
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14. Data pre-processing in Deep learning.mp4
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26 MB
14. Data pre-processing in Deep learning.srt
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6.3 KB
15. Choosing the right algorithm and model in deep learning.mp4
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148.9 MB
15. Choosing the right algorithm and model in deep learning.srt
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16. Training and testing the model.mp4
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84 MB
16. Training and testing the model.srt
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6.2 KB
17. Evaluation in deep learning.mp4
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24.4 MB
17. Evaluation in deep learning.srt
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7.4 KB
18. Quiz Python, Data Science, Machine learning, Deep learning.html
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204.8 B
19. Quiz.html
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204.8 B
2. Anatomy of Neural Network in Artificial intelligence.mp4
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42.3 MB
2. Anatomy of Neural Network in Artificial intelligence.srt
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10.4 KB
2. Array and Features in Numpy Python.mp4
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47.9 MB
2. Array and Features in Numpy Python.srt
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11.4 KB
2. Atomic Vector Types in R.mp4
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24.1 MB
2. Atomic Vector Types in R.srt
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3.4 KB
2. Constructor in Object Oriented Programming.mp4
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33.9 MB
2. Constructor in Object Oriented Programming.srt
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6.8 KB
2. Controlling Figure Aesthetics in Seaborn.mp4
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39.2 MB
2. Controlling Figure Aesthetics in Seaborn.srt
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10.8 KB
2. Data Frame Attributes and Methods Part – II.mp4
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57 MB
2. Data Frame Attributes and Methods Part – II.srt
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11.2 KB
2. Data Literacy.mp4
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9.8 MB
2. Data Literacy.srt
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3.3 KB
2. Data Manipulation in R.mp4
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54.9 MB
2. Data Manipulation in R.srt
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9.1 KB
2. Example - 1.mp4
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36.4 MB
2. Example - 1.srt
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2. History of Machine Learning.mp4
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23.9 MB
2. History of Machine Learning.srt
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2. Installing Anaconda for Mac, Python Data Science.mp4
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53 MB
2. Installing Anaconda for Mac, Python Data Science.srt
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6.2 KB
2. Manipulating Categorical Data with Forcats in R.mp4
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132.7 MB
2. Manipulating Categorical Data with Forcats in R.srt
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11.9 KB
2. Naming Matrix Row and Columns in R programming.mp4
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48.1 MB
2. Naming Matrix Row and Columns in R programming.srt
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5.2 KB
2. Naming Variables and Observations in DF.mp4
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27.5 MB
2. Naming Variables and Observations in DF.srt
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2.1 KB
2. Operators in Python.mp4
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29.6 MB
2. Operators in Python.srt
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10.6 KB
2. Project - 2.mp4
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169.3 MB
2. Project - 2.srt
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20.8 KB
2. Project Files and Course Documents Data Science, Python data science.html
HTML
409.6 B
2. Quiz Machine Learnig, Deep Learning.html
HTML
204.8 B
2. Quiz.html
HTML
204.8 B
2. R Console Versus R Studio.mp4
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22 MB
2. R Console Versus R Studio.srt
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5.2 KB
2. Select Columns with Select Function in R programming.mp4
MP4
60.6 MB
2. Select Columns with Select Function in R programming.srt
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6.9 KB
2. Series and Features.mp4
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74.3 MB
2. Series and Features.srt
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18.7 KB
2. Subsections of an Array in r programming.mp4
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68.4 MB
2. Subsections of an Array in r programming.srt
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8.3 KB
2. Titanic Project Answers in python projects.mp4
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89 MB
2. Titanic Project Answers in python projects.srt
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21.4 KB
2. Using Matplotlib.mp4
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26.5 MB
2. Using Matplotlib.srt
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7.5 KB
2.1 poaching_points_cleaned.csv
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24.2 KB
3. Array Operators in Numpy.mp4
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17.6 MB
3. Array Operators in Numpy.srt
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4.2 KB
3. Calculating With Matrices in Python Data science.mp4
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59.1 MB
3. Calculating With Matrices in Python Data science.srt
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6.1 KB
3. Conditionals in Python.mp4
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34.6 MB
3. Conditionals in Python.srt
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9.6 KB
3. Converting Data Types of Atomic Vectors in R.mp4
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32.2 MB
3. Converting Data Types of Atomic Vectors in R.srt
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3.5 KB
3. Creating a Simple ANN in Artificial intelligence.mp4
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79.5 MB
3. Creating a Simple ANN in Artificial intelligence.srt
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14.5 KB
3. Data Frame Attributes and Methods Part – III.mp4
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48 MB
3. Data Frame Attributes and Methods Part – III.srt
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9.3 KB
3. Example - 2.mp4
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76.3 MB
3. Example - 2.srt
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18.5 KB
3. Example in Seaborn.mp4
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51.4 MB
3. Example in Seaborn.srt
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9.6 KB
3. FAQ about Complete data science with R, deep learning, machine learning.html
HTML
20 KB
3. Filtering Rows with Filter Function in R programming.mp4
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169.7 MB
3. Filtering Rows with Filter Function in R programming.srt
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15.1 KB
3. Graphs and Charts in Python data science.mp4
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139.9 MB
3. Graphs and Charts in Python data science.srt
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19.2 KB
3. Let's Meet Jupyter Notebook for Windows.mp4
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25.4 MB
3. Let's Meet Jupyter Notebook for Windows.srt
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5.7 KB
3. Manipulating Values in DF.mp4
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145.3 MB
3. Manipulating Values in DF.srt
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13.8 KB
3. Methods in Object Oriented Programming.mp4
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23.6 MB
3. Methods in Object Oriented Programming.srt
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4.1 KB
3. Project - 3.mp4
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82.4 MB
3. Project - 3.srt
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14.9 KB
3. Project II Bike Sharing.mp4
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13.7 MB
3. Project II Bike Sharing.srt
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4.9 KB
3. Pyplot – Pylab - Matplotlib.mp4
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26.6 MB
3. Pyplot – Pylab - Matplotlib.srt
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7.2 KB
3. Quiz Data Science, Python Data Science.html
HTML
204.8 B
3. Turing Machine and Turing Test.mp4
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40.9 MB
3. Turing Machine and Turing Test.srt
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13.3 KB
3.1 Bike_Share_London.csv
CSV
368.5 KB
3.1 scores.csv
CSV
1.4 KB
3.1 world_cities_pop.csv
CSV
156.7 MB
3.2 Project - II - Questions.txt
TXT
921.6 B
4. Adding and Removing Variables in R Programming.mp4
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41.5 MB
4. Adding and Removing Variables in R Programming.srt
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3.8 KB
4. Arranging Rows with Arrange Function in R.mp4
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129.4 MB
4. Arranging Rows with Arrange Function in R.srt
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12.1 KB
4. Basics of Jupyter Notebook for Mac.mp4
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14.8 MB
4. Basics of Jupyter Notebook for Mac.srt
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2.6 KB
4. Bike Sharing Project Answers.mp4
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147.3 MB
4. Bike Sharing Project Answers.srt
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30 KB
4. Color Palettes in Seaborn.mp4
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45.4 MB
4. Color Palettes in Seaborn.srt
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14.5 KB
4. Example - 3.mp4
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47.8 MB
4. Example - 3.srt
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11.4 KB
4. Figure, Subplot and Axes in Matplotlib.mp4
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65.7 MB
4. Figure, Subplot and Axes in Matplotlib.srt
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17.3 KB
4. Indexing and Slicing in Numpy Python.mp4
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40.4 MB
4. Indexing and Slicing in Numpy Python.srt
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8.6 KB
4. Inheritance in Object Oriented Programming.mp4
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32.6 MB
4. Inheritance in Object Oriented Programming.srt
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6.7 KB
4. Loops in Python.mp4
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49.1 MB
4. Loops in Python.srt
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11.9 KB
4. Multi Index in Pandas.mp4
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50.8 MB
4. Multi Index in Pandas.srt
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4. Project - 4.mp4
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72.3 MB
4. Project - 4.srt
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14.6 KB
4. Tensor Operations in Artificial intelligence.mp4
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62.1 MB
4. Tensor Operations in Artificial intelligence.srt
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4. Test Functions in R.mp4
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13 MB
4. Test Functions in R.srt
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1.3 KB
4. What is Deep Learning.mp4
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20.5 MB
4. What is Deep Learning.srt
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7.1 KB
4. quiz.html
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204.8 B
4.1 flight_details.csv
CSV
2.3 KB
5. Adding New Variables with Mutate Function in R.mp4
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63.1 MB
5. Adding New Variables with Mutate Function in R.srt
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6.8 KB
5. Basic Plots in Seaborn.mp4
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92.8 MB
5. Basic Plots in Seaborn.srt
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22.3 KB
5. Figure Customization in Matplotlib.mp4
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59.1 MB
5. Figure Customization in Matplotlib.srt
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13.9 KB
5. Groupby Operations in Pandas.mp4
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52.6 MB
5. Groupby Operations in Pandas.srt
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12.2 KB
5. Learning representations from data.mp4
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34.9 MB
5. Learning representations from data.srt
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13.4 KB
5. Lists, Tuples, Dictionaries and Sets in Python.mp4
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66.3 MB
5. Lists, Tuples, Dictionaries and Sets in Python.srt
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17.4 KB
5. Numpy Exercises.mp4
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74.2 MB
5. Numpy Exercises.srt
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14.7 KB
5. Overriding and Overloading in OOP.mp4
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58.9 MB
5. Overriding and Overloading in OOP.srt
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9.3 KB
5. Project III Housing and Property Sales.mp4
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10.3 MB
5. Project III Housing and Property Sales.srt
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5. Quiz.html
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204.8 B
5. Tensor Operations 2.mp4
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29.8 MB
5. Tensor Operations 2.srt
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5. Tibbles in R.mp4
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83.7 MB
5. Tibbles in R.srt
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8.6 KB
5. Vector Recycling and Iterations in R.mp4
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34.5 MB
5. Vector Recycling and Iterations in R.srt
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4.6 KB
5.1 House Sales.csv
CSV
1.2 MB
5.1 basic_details.csv
CSV
102.4 B
5.2 Project - III - Questions.txt
TXT
716.8 B
5.2 movie_scores.csv
CSV
204.8 B
5.3 salary.csv
CSV
3.3 MB
5.4 scores.csv
CSV
1.4 KB
5.5 youtube.csv
CSV
716.8 B
6. Answer for Housing and Property Sales Project.mp4
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155 MB
6. Answer for Housing and Property Sales Project.srt
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28.4 KB
6. Data Type Operators and Methods in Python.mp4
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40.5 MB
6. Data Type Operators and Methods in Python.srt
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8.9 KB
6. Grouped Summaries with Summarize Function in R.mp4
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148.6 MB
6. Grouped Summaries with Summarize Function in R.srt
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17.6 KB
6. Keras API in Artificial intelligence.mp4
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23.3 MB
6. Keras API in Artificial intelligence.srt
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8 KB
6. Missing Data and Data Munging in Pandas.mp4
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79.3 MB
6. Missing Data and Data Munging in Pandas.srt
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21.9 KB
6. Multi-Plots in Seaborn.mp4
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40.9 MB
6. Multi-Plots in Seaborn.srt
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10.7 KB
6. Naming Vectors in R.mp4
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34.2 MB
6. Naming Vectors in R.srt
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6. Plot Customization in matplotlib.mp4
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25.8 MB
6. Plot Customization in matplotlib.srt
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6. Quiz Python data science, R programming.html
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204.8 B
6. Quiz.html
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204.8 B
6. Workflow of Machine Learning.mp4
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31.7 MB
6. Workflow of Machine Learning.srt
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10.7 KB
7. Grid, Spines, Ticks in python.mp4
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22.4 MB
7. Grid, Spines, Ticks in python.srt
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7. Machine Learning Methods.mp4
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45.5 MB
7. Machine Learning Methods.srt
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7. Missing Data and Data Munging Part II.mp4
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40.8 MB
7. Missing Data and Data Munging Part II.srt
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7. Modules in Python.mp4
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21.1 MB
7. Modules in Python.srt
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7. Optimizers in Artificial intelligence.mp4
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42.3 MB
7. Optimizers in Artificial intelligence.srt
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7. Project IV English Premier League.mp4
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13.5 MB
7. Project IV English Premier League.srt
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7. Regression Plots and Squarify in Seaborn.mp4
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56.5 MB
7. Regression Plots and Squarify in Seaborn.srt
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7. Subsetting Vectors in R.mp4
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7. Subsetting Vectors in R.srt
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7.1 2006-2018 EPL stats.csv
CSV
53.9 KB
7.1 age_data.csv
CSV
661.5 KB
7.2 Project - IV - Questions.txt
TXT
1 KB
7.2 water_usage.csv
CSV
102.4 B
8. Answers for English Premier League Project.mp4
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153.6 MB
8. Answers for English Premier League Project.srt
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8. Basic Plots in Matplotlib I.mp4
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104.4 MB
8. Basic Plots in Matplotlib I.srt
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8. Functions in Python.mp4
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26.1 MB
8. Functions in Python.srt
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8. How We Deal with Missing Data.mp4
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69.2 MB
8. How We Deal with Missing Data.srt
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8. Quiz.html
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204.8 B
8. Supervised Machine Learning Methods - 1.mp4
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30.9 MB
8. Supervised Machine Learning Methods - 1.srt
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8. What is TensorFlow.mp4
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62.6 MB
8. What is TensorFlow.srt
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8.1 age_data.csv
CSV
661.5 KB
8.2 scatter_ex.xlsx
XLSX
11.3 KB
9. Basic Plots in Matplotlib II.mp4
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51.5 MB
9. Basic Plots in Matplotlib II.srt
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9. Combining Data Frames in Pandas.mp4
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103.6 MB
9. Combining Data Frames in Pandas.srt
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17.1 KB
9. Exercise Analyse in Python.mp4
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5.7 MB
9. Exercise Analyse in Python.srt
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9. Quiz.html
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9. Supervised Machine Learning Methods - 2.mp4
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55.4 MB
9. Supervised Machine Learning Methods - 2.srt
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9.1 winequality.csv
CSV
82.2 KB
[CourseClub.Me].url
URL
102.4 B
[FreeCourseSite.com].url
URL
102.4 B
[GigaCourse.Com].url
URL
0 B

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