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1. Data Visualization - Starting With Matplotlib.mp4
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MP4
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11.5 MB
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1. Data Visualization - Starting With Matplotlib.srt
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SRT
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2.6 KB
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1. Defining Numbers In Python.mp4
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MP4
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10.9 MB
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1. Defining Numbers In Python.srt
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SRT
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6.4 KB
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1. Discriminant Analysis - Lecture 1.mp4
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MP4
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101.8 MB
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1. Discriminant Analysis - Lecture 1.srt
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SRT
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12.5 KB
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1. Ensemble Classifiers- Random Forest - Lecture 1.mp4
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MP4
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46.9 MB
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1. Ensemble Classifiers- Random Forest - Lecture 1.srt
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SRT
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12.8 KB
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1. File Handling In Python - Lecture 1.mp4
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MP4
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17 MB
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1. File Handling In Python - Lecture 1.srt
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SRT
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3.2 KB
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1. Fundamentals Of Decision Tree - Lecture 1.mp4
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MP4
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46.6 MB
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1. Fundamentals Of Decision Tree - Lecture 1.srt
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SRT
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14.2 KB
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1. Installing Python.mp4
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MP4
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32.6 MB
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1. Installing Python.srt
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SRT
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2 KB
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1. Introduction To Deep Learning.mp4
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MP4
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62.1 MB
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1. Introduction To Deep Learning.srt
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SRT
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6.9 KB
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1. Introduction.mp4
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MP4
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23.2 MB
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1. Introduction.srt
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SRT
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1.8 KB
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1. Regression Tree.mp4
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MP4
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11.5 MB
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1. Regression Tree.srt
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SRT
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9.3 KB
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1. Ridge Regression - Lecture 1.mp4
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MP4
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39.4 MB
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1. Ridge Regression - Lecture 1.srt
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SRT
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7.1 KB
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1. Starting With NumPy Library.mp4
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MP4
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29.4 MB
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1. Starting With NumPy Library.srt
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SRT
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2.9 KB
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1. Starting With Pandas.mp4
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MP4
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36.6 MB
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1. Starting With Pandas.srt
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SRT
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5.1 KB
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1. Support Vector Machines - Lecture 1.mp4
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MP4
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42.9 MB
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1. Support Vector Machines - Lecture 1.srt
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SRT
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7.5 KB
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1. Understanding Linear Regression.mp4
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MP4
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45.4 MB
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1. Understanding Linear Regression.srt
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SRT
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6.4 KB
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1. Understanding Logistic Regression Problems.mp4
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MP4
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10.2 MB
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1. Understanding Logistic Regression Problems.srt
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SRT
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3 KB
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1. Understanding NaΓ―ve Bayes Classifier.mp4
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MP4
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62.4 MB
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1. Understanding NaΓ―ve Bayes Classifier.srt
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SRT
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7.7 KB
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10. Decision Tree Hands-on With Python - Lecture 5.mp4
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MP4
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38.3 MB
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10. Decision Tree Hands-on With Python - Lecture 5.srt
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SRT
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4.2 KB
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2. Basic Operations On Numbers.mp4
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MP4
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16.3 MB
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2. Basic Operations On Numbers.srt
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SRT
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2.9 KB
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2. Data Visualization - The Dataset.mp4
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MP4
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11.8 MB
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2. Data Visualization - The Dataset.srt
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SRT
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1.6 KB
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2. Discriminant Analysis - Lecture 2.mp4
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MP4
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57.2 MB
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2. Discriminant Analysis - Lecture 2.srt
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SRT
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6.9 KB
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2. Ensemble Classifiers- Random Forest - Lecture 2.mp4
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MP4
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37.3 MB
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2. Ensemble Classifiers- Random Forest - Lecture 2.srt
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SRT
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12.1 KB
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2. Estimating Coefficients Of Linear Regression.mp4
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MP4
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30.4 MB
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2. Estimating Coefficients Of Linear Regression.srt
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SRT
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5.8 KB
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2. File Handling In Python - Lecture 2.mp4
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MP4
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38.2 MB
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2. File Handling In Python - Lecture 2.srt
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SRT
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4.1 KB
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2. Fundamentals Of Decision Tree - Lecture 2.mp4
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MP4
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37.3 MB
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2. Fundamentals Of Decision Tree - Lecture 2.srt
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SRT
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13.4 KB
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2. Installing Jupyter Notebook.mp4
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MP4
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13.6 MB
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2. Installing Jupyter Notebook.srt
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SRT
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2.2 KB
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2. Introduction To Artificial Neural Networks (ANNs).mp4
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MP4
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71.4 MB
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2. Introduction To Artificial Neural Networks (ANNs).srt
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SRT
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7.4 KB
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2. Regression Tree With Python.mp4
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MP4
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41.8 MB
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2. Regression Tree With Python.srt
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SRT
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4.7 KB
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2. Ridge Regression - Lecture 2.mp4
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MP4
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27 MB
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2. Ridge Regression - Lecture 2.srt
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SRT
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4.6 KB
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2. Slicing Of A Sequence.mp4
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MP4
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21.3 MB
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2. Slicing Of A Sequence.srt
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SRT
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3.2 KB
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2. Supervised Machine Learning.mp4
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MP4
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36.8 MB
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2. Supervised Machine Learning.srt
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SRT
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5.1 KB
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2. Support Vector Machines - Lecture 2.mp4
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MP4
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70.7 MB
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2. Support Vector Machines - Lecture 2.srt
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SRT
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10 KB
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2. Understanding Data For Logistic Regression.mp4
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MP4
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10.5 MB
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2. Understanding Data For Logistic Regression.srt
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SRT
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3 KB
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2. Understanding KNN Algorithm.mp4
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MP4
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23.4 MB
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2. Understanding KNN Algorithm.srt
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SRT
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5 KB
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2. Working With Arrays Using NumPy Library.mp4
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MP4
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66.7 MB
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2. Working With Arrays Using NumPy Library.srt
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SRT
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6.3 KB
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3. Advantages And Disadvantages Of KNN.mp4
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MP4
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6.6 MB
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3. Advantages And Disadvantages Of KNN.srt
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SRT
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2.2 KB
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3. Architecture And Training Of ANN.mp4
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MP4
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61.7 MB
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3. Architecture And Training Of ANN.srt
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SRT
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12.9 KB
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3. Data Analysis And Visualization.mp4
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MP4
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49.9 MB
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3. Data Analysis And Visualization.srt
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SRT
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5.5 KB
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3. DataFrame In Pandas.mp4
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MP4
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13.7 MB
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3. DataFrame In Pandas.srt
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SRT
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4.1 KB
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3. Decision Tree, Impurity Gain Ratio.mp4
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MP4
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21.5 MB
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3. Decision Tree, Impurity Gain Ratio.srt
|
SRT
|
8.6 KB
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3. Explaining A Logistic Regression Model.mp4
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MP4
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10.1 MB
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3. Explaining A Logistic Regression Model.srt
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SRT
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2.5 KB
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3. File Handling In Python - Lecture 3.mp4
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MP4
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27.6 MB
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3. File Handling In Python - Lecture 3.srt
|
SRT
|
3.7 KB
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3. Installing PyCharm.mp4
|
MP4
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27.8 MB
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3. Installing PyCharm.srt
|
SRT
|
2.8 KB
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3. Random Forest Classifier In Python - Lecture 1.mp4
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MP4
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46.4 MB
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|
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3. Random Forest Classifier In Python - Lecture 1.srt
|
SRT
|
5.5 KB
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|
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3. Support Vector Machines - Lecture 3.mp4
|
MP4
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48.6 MB
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|
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3. Support Vector Machines - Lecture 3.srt
|
SRT
|
7.4 KB
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3. The Built-in Python Functions.mp4
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MP4
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28.8 MB
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3. The Built-in Python Functions.srt
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SRT
|
5.2 KB
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3. Understanding t-value and p-value.mp4
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MP4
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5.3 MB
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3. Understanding t-value and p-value.srt
|
SRT
|
3.4 KB
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3. Unsupervised Machine Learning.mp4
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MP4
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43.5 MB
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3. Unsupervised Machine Learning.srt
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SRT
|
5.4 KB
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4. Data Slicing And Grouping.mp4
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MP4
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30.8 MB
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4. Data Slicing And Grouping.srt
|
SRT
|
3.3 KB
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4. Decision Tree, Numerical Attributes - Lecture 1.mp4
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MP4
|
42 MB
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|
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4. Decision Tree, Numerical Attributes - Lecture 1.srt
|
SRT
|
7.5 KB
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|
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4. Difference Between Supervised And Unsupervised Machine Learning.mp4
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MP4
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12.6 MB
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|
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4. Difference Between Supervised And Unsupervised Machine Learning.srt
|
SRT
|
2.7 KB
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4. Fitting A Logistic Regression Model.mp4
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MP4
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33.8 MB
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4. Fitting A Logistic Regression Model.srt
|
SRT
|
6.6 KB
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4. Installing Python Libraries.mp4
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MP4
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25.8 MB
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|
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4. Installing Python Libraries.srt
|
SRT
|
6.1 KB
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4. Multiple R-square And Residual Standard Error.mp4
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MP4
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21.3 MB
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4. Multiple R-square And Residual Standard Error.srt
|
SRT
|
4.3 KB
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4. Perceptron With Python.mp4
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MP4
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62.4 MB
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4. Perceptron With Python.srt
|
SRT
|
6 KB
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4. Random Forest Classifier In Python - Lecture 2.mp4
|
MP4
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44.4 MB
|
|
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4. Random Forest Classifier In Python - Lecture 2.srt
|
SRT
|
5.3 KB
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|
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4. SVM With Python.mp4
|
MP4
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60.2 MB
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|
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4. SVM With Python.srt
|
SRT
|
6.7 KB
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5. ANN With Back Propagation.mp4
|
MP4
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65.2 MB
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|
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5. ANN With Back Propagation.srt
|
SRT
|
9.2 KB
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5. Decision Tree, Numerical Attributes - Lecture 2.mp4
|
MP4
|
34.5 MB
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|
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5. Decision Tree, Numerical Attributes - Lecture 2.srt
|
SRT
|
9.5 KB
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|
|
5. Filtering And Sorting Data.mp4
|
MP4
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35.4 MB
|
|
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5. Filtering And Sorting Data.srt
|
SRT
|
3.8 KB
|
|
|
5. Linear Regression With Python.mp4
|
MP4
|
142.7 MB
|
|
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5. Linear Regression With Python.srt
|
SRT
|
12.5 KB
|
|
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5. Logistic Regression With Python.mp4
|
MP4
|
105 MB
|
|
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5. Logistic Regression With Python.srt
|
SRT
|
12.4 KB
|
|
|
5. Python Programs In Many Ways.mp4
|
MP4
|
42.5 MB
|
|
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5. Python Programs In Many Ways.srt
|
SRT
|
4.9 KB
|
|
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6. Back Propagation With Python.mp4
|
MP4
|
61.7 MB
|
|
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6. Back Propagation With Python.srt
|
SRT
|
5.9 KB
|
|
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6. Decision Tree Hands-on With Python - Lecture 1.mp4
|
MP4
|
30.6 MB
|
|
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6. Decision Tree Hands-on With Python - Lecture 1.srt
|
SRT
|
3.4 KB
|
|
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7. Decision Tree Hands-on With Python - Lecture 2.mp4
|
MP4
|
48.9 MB
|
|
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7. Decision Tree Hands-on With Python - Lecture 2.srt
|
SRT
|
5.2 KB
|
|
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8. Decision Tree Hands-on With Python - Lecture 3.mp4
|
MP4
|
30.6 MB
|
|
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8. Decision Tree Hands-on With Python - Lecture 3.srt
|
SRT
|
3.4 KB
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|
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9. Decision Tree Hands-on With Python - Lecture 4.mp4
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MP4
|
36.4 MB
|
|
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9. Decision Tree Hands-on With Python - Lecture 4.srt
|
SRT
|
3.8 KB
|
|
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Bonus Resources.txt
|
TXT
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307.2 B
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|
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Get Bonus Downloads Here.url
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URL
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204.8 B
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