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mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:7.39 GB

Files Included :

1 - Who is This Course For.mp4 (17.16 MB)
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2 - Data Science Machine Learning Marketplace.mp4 (46.94 MB)
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3 - Data Science Job Opportunities.mp4 (29.41 MB)
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4 - Data Science Job Roles.mp4 (79.8 MB)
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5 - What is a Data Scientist.mp4 (127.46 MB)
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6 - How To Get a Data Science Job.mp4 (131.18 MB)
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7 - Data Science Projects Overview.mp4 (79.47 MB)
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57 - Exploratory Data Analysis.mp4 (50.56 MB)
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58 - Feature Scaling.mp4 (19.37 MB)
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59 - Data Cleaning.mp4 (30.21 MB)
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60 - Feature Engineering.mp4 (18.41 MB)
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61 - Linear Regression Intro.mp4 (30.79 MB)
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62 - Gradient Descent.mp4 (15.93 MB)
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63 - Linear Regression Correlation Methods.mp4 (110.38 MB)
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64 - Linear Regression Implementation.mp4 (17.85 MB)
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65 - Logistic Regression.mp4 (8.89 MB)
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66 - KNN Overview.mp4 (12.88 MB)
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67 - parametric vs nonparametric models.mp4 (15.62 MB)
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68 - EDA on Iris Dataset.mp4 (161.87 MB)
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69 - The KNN Intuition.mp4 (8.08 MB)
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70 - Implement the KNN algorithm from scratch.mp4 (86.97 MB)
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71 - Compare the result with the sklearn library.mp4 (24.56 MB)
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72 - Hyperparameter tuning using the crossvalidation.mp4 (90.29 MB)
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73 - The decision boundary visualization.mp4 (16.93 MB)
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74 - Manhattan vs Euclidean Distance.mp4 (76.38 MB)
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75 - Feature scaling in KNN.mp4 (49.39 MB)
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76 - Curse of dimensionality.mp4 (45.98 MB)
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77 - KNN use cases.mp4 (28.91 MB)
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78 - KNN pros and cons.mp4 (30.45 MB)
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79 - Decision Trees Section Overview.mp4 (16.45 MB)
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80 - EDA on Adult Dataset.mp4 (123.19 MB)
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81 - What is Entropy and Information Gain.mp4 (136.07 MB)
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82 - The Decision Tree ID3 algorithm from scratch Part 1.mp4 (85.27 MB)
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83 - The Decision Tree ID3 algorithm from scratch Part 2.mp4 (63.96 MB)
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84 - The Decision Tree ID3 algorithm from scratch Part 3.mp4 (33.4 MB)
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85 - ID3 Putting Everything Together.mp4 (182.48 MB)
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86 - Evaluating our ID3 implementation.mp4 (121.93 MB)
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87 - Compare with Sklearn implementation.mp4 (65.58 MB)
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88 - Visualizing the tree.mp4 (68.17 MB)
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89 - Plot the features importance.mp4 (31.67 MB)
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90 - Decision Trees Hyperparameters.mp4 (81.26 MB)
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91 - Pruning.mp4 (112.97 MB)
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92 - Optional Gain Ration.mp4 (19.18 MB)
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93 - Decision Trees Pros and Cons.mp4 (47.74 MB)
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94 - Project Predict whether income exceeds 50Kyr Overview.mp4 (15.1 MB)
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100 - Implementing Random Forests from scratch Part 1.mp4 (202.54 MB)
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101 - Implementing Random Forests from scratch Part 2.mp4 (50.5 MB)
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102 - Compare with sklearn implementation.mp4 (27.65 MB)
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103 - Random Forests HyperParameters.mp4 (39.66 MB)
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104 - Random Forests Pros and Cons.mp4 (19.69 MB)
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105 - What is Boosting.mp4 (35.43 MB)
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106 - AdaBoost Part 1.mp4 (25.52 MB)
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107 - AdaBoost Part 2.mp4 (85.94 MB)
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95 - Ensemble Learning Section Overview.mp4 (16.07 MB)
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96 - What is Ensemble Learning.mp4 (91.97 MB)
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97 - What is Bootstrap Sampling.mp4 (55.87 MB)
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98 - What is Bagging.mp4 (29.48 MB)
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99 - OutofBag Error OOB Error.mp4 (42.02 MB)
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108 - SVM Outline.mp4 (35.3 MB)
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109 - SVM intuition.mp4 (48.86 MB)
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110 - Hard vs Soft Margins.mp4 (65.63 MB)
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111 - C hyperparameter.mp4 (21.05 MB)
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112 - Kernel Trick.mp4 (77.04 MB)
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113 - SVM Kernel Types.mp4 (126.37 MB)
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114 - SVM with Linear Dataset Iris.mp4 (101.55 MB)
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115 - SVM with Nonlinear Dataset.mp4 (111.54 MB)
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116 - SVM with Regression.mp4 (24.99 MB)
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117 - Project Voice Gender Recognition using SVM.mp4 (39.6 MB)
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118 - Unsupervised Machine Learning Intro.mp4 (100.92 MB)
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119 - Unsupervised Machine Learning Continued.mp4 (83.12 MB)
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120 - Data Standardization.mp4 (109.61 MB)
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121 - PCA Section Overview.mp4 (31.76 MB)
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122 - What is PCA.mp4 (47.26 MB)
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123 - PCA Drawbacks.mp4 (19.43 MB)
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124 - PCA Algorithm Steps Mathematics.mp4 (57.72 MB)
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125 - Covariance Matrix vs SVD.mp4 (38.74 MB)
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126 - PCA Main Applications.mp4 (10.04 MB)
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127 - PCA Image Compression.mp4 (249.91 MB)
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128 - PCA Data Preprocessing.mp4 (120.45 MB)
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129 - PCA Biplot and the Screen Plot.mp4 (135.59 MB)
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130 - PCA Feature Scaling and Screen Plot.mp4 (68.2 MB)
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131 - PCA Supervised vs Unsupervised.mp4 (35.78 MB)
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132 - PCA Visualization.mp4 (68.01 MB)
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10 - What is Machine Learning.mp4 (83.41 MB)
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11 - Machine Learning Concepts Algorithms.mp4 (77.97 MB)
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12 - What is Deep Learning.mp4 (77.8 MB)
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13 - Machine Learning vs Deep Learning.mp4 (75.91 MB)
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8 - Why We Use Python.mp4 (13.5 MB)
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9 - What is Data Science.mp4 (87.99 MB)
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133 - Creating A Data Science Resume.mp4 (37.07 MB)
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134 - Data Science Cover Letter.mp4 (22.95 MB)
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135 - How to Contact Recruiters.mp4 (24.64 MB)
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136 - Getting Started with Freelancing.mp4 (30.24 MB)
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137 - Top Freelance Websites.mp4 (29.54 MB)
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138 - Personal Branding.mp4 (30.48 MB)
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139 - Networking Dos and Donts.mp4 (23.69 MB)
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140 - Importance of a Website.mp4 (15.36 MB)
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14 - What is Programming.mp4 (18.35 MB)
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15 - Why Python for Data Science.mp4 (16.31 MB)
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16 - What is Jupyter.mp4 (14.57 MB)
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17 - What is Google Colab.mp4 (8.25 MB)
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18 - Python Variables Booleans and None.mp4 (38.25 MB)
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19 - Getting Started with Google Colab.mp4 (35.09 MB)
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20 - Python Operators.mp4 (86.76 MB)
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21 - Python Numbers Booleans.mp4 (25.6 MB)
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22 - Python Strings.mp4 (56.27 MB)
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23 - Python Conditional Statements.mp4 (54.6 MB)
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24 - Python For Loops and While Loops.mp4 (25.6 MB)
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25 - Python Lists.mp4 (21.43 MB)
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26 - More about Lists.mp4 (60.41 MB)
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27 - Python Tuples.mp4 (54.53 MB)
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28 - Python Dictionaries.mp4 (104.17 MB)
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29 - Python Sets.mp4 (29.43 MB)
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30 - Compound Data Types When to use each one.mp4 (47.06 MB)
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31 - Python Functions.mp4 (62.51 MB)
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32 - Object Oriented Programming in Python.mp4 (70.25 MB)
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33 - Intro To Statistics.mp4 (21.23 MB)
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34 - Descriptive Statistics.mp4 (21.47 MB)
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35 - Measure of Variability.mp4 (38.2 MB)
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36 - Measure of Variability Continued.mp4 (34.6 MB)
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37 - Measures of Variable Relationship.mp4 (23.56 MB)
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38 - Inferential Statistics.mp4 (45 MB)
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39 - Measure of Asymmetry.mp4 (6.75 MB)
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40 - Sampling Distribution.mp4 (26.45 MB)
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41 - What Exactly is Probability.mp4 (27.16 MB)
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42 - Expected Values.mp4 (14.71 MB)
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43 - Relative Frequency.mp4 (32.69 MB)
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44 - Hypothesis Testing Overview.mp4 (60.58 MB)
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45 - Intro NumPy Array Data Types.mp4 (34.67 MB)
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46 - NumPy Arrays.mp4 (32.32 MB)
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47 - NumPy Arrays Basics.mp4 (39.97 MB)
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48 - NumPy Array Indexing.mp4 (34.74 MB)
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49 - NumPy Array Computations.mp4 (16.96 MB)
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50 - Broadcasting.mp4 (17.86 MB)
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51 - Introduction to Pandas.mp4 (46.83 MB)
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52 - Introduction to Pandas Continued.mp4 (71.09 MB)
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53 - Data Visualization Overview.mp4 (73.08 MB)
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54 - Different Data Visualization Libraries in Python.mp4 (41.1 MB)
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55 - Python Data Visualization Implementation.mp4 (27.43 MB)
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56 - Introduction To Machine Learning.mp4 (98.7 MB)
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