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| [FreeTutorials.us].txt |
75б |
| 001 Introduction to the Course.mp4 |
43.01Мб |
| 002 Course Help and Welcome.mp4 |
22.13Мб |
| 003 Course FAQs.html |
5.61Кб |
| 004 Environment Set-up and Installation.mp4 |
28.17Мб |
| 005 Jupyter Notebooks.mp4 |
37.76Мб |
| 006 Optional Virtual Environments.mp4 |
21.78Мб |
| 007 Welcome to the Python Crash Course Section.mp4 |
10.70Мб |
| 008 Introduction to Python Crash Course.mp4 |
3.03Мб |
| 009 Python Crash Course - Part 1.mp4 |
40.15Мб |
| 010 Python Crash Course - Part 2.mp4 |
32.21Мб |
| 011 Python Crash Course - Part 3.mp4 |
35.76Мб |
| 012 Python Crash Course - Part 4.mp4 |
32.55Мб |
| 013 Python Crash Course Exercises - Overview.mp4 |
12.23Мб |
| 014 Python Crash Course Exercises - Solutions.mp4 |
34.41Мб |
| 015 Welcome to the NumPy Section.mp4 |
6.99Мб |
| 016 Introduction to Numpy.mp4 |
4.72Мб |
| 017 Numpy Arrays.mp4 |
38.13Мб |
| 018 Quick Note on Array Indexing.html |
1.32Кб |
| 019 Numpy Array Indexing.mp4 |
42.25Мб |
| 020 Numpy Operations.mp4 |
30.10Мб |
| 021 Numpy Exercises Overview.mp4 |
12.21Мб |
| 022 Numpy Exercises Solutions.mp4 |
46.23Мб |
| 023 Welcome to the Pandas Section.mp4 |
9.13Мб |
| 024 Introduction to Pandas.mp4 |
3.53Мб |
| 025 Series.mp4 |
22.69Мб |
| 026 DataFrames - Part 1.mp4 |
45.61Мб |
| 027 DataFrames - Part 2.mp4 |
49.87Мб |
| 028 DataFrames - Part 3.mp4 |
24.30Мб |
| 029 Missing Data.mp4 |
13.68Мб |
| 030 Groupby.mp4 |
16.69Мб |
| 031 Merging Joining and Concatenating.mp4 |
30.38Мб |
| 032 Operations.mp4 |
27.35Мб |
| 033 Data Input and Output.mp4 |
44.49Мб |
| 034 SF Salaries Exercise Overview.mp4 |
8.30Мб |
| 035 Note on SF Salary Exercise.html |
855б |
| 036 SF Salaries Solutions.mp4 |
51.78Мб |
| 037 Ecommerce Purchases Exercise Overview.mp4 |
8.79Мб |
| 038 Ecommerce Purchases Exercise Solutions.mp4 |
52.02Мб |
| 039 Welcome to the Data Visualization Section.mp4 |
14.24Мб |
| 040 Introduction to Matplotlib.mp4 |
16.33Мб |
| 041 Matplotlib Part 1.mp4 |
41.62Мб |
| 042 Matplotlib Part 2.mp4 |
35.46Мб |
| 043 Matplotlib Part 3.mp4 |
31.90Мб |
| 044 Matplotlib Exercises Overview.mp4 |
7.71Мб |
| 045 Matplotlib Exercises - Solutions.mp4 |
32.80Мб |
| 046 Introduction to Seaborn.mp4 |
11.58Мб |
| 047 Distribution Plots.mp4 |
61.74Мб |
| 048 Categorical Plots.mp4 |
44.38Мб |
| 049 Matrix Plots.mp4 |
25.41Мб |
| 050 Regression Plots.mp4 |
18.03Мб |
| 051 Grids.mp4 |
23.94Мб |
| 052 Style and Color.mp4 |
22.69Мб |
| 053 Seaborn Exercise Overview.mp4 |
8.25Мб |
| 054 Seaborn Exercise Solutions.mp4 |
24.23Мб |
| 055 Pandas Built-in Data Visualization.mp4 |
36.87Мб |
| 056 Pandas Data Visualization Exercise.mp4 |
6.55Мб |
| 057 Pandas Data Visualization Exercise- Solutions.mp4 |
35.90Мб |
| 058 Introduction to Plotly and Cufflinks.mp4 |
15.63Мб |
| 059 Plotly and Cufflinks.mp4 |
62.60Мб |
| 060 Introduction to Geographical Plotting.mp4 |
2.15Мб |
| 061 Choropleth Maps - Part 1 - USA.mp4 |
54.96Мб |
| 062 Choropleth Maps - Part 2 - World.mp4 |
24.41Мб |
| 063 Choropleth Exercises.mp4 |
12.87Мб |
| 064 Choropleth Exercises - Solutions.mp4 |
33.46Мб |
| 065 Welcome to the Data Capstone Projects.mp4 |
10.97Мб |
| 066 911 Calls Project Overview.mp4 |
11.44Мб |
| 067 911 Calls Solutions - Part 1.mp4 |
49.16Мб |
| 068 911 Calls Solutions - Part 2.mp4 |
58.83Мб |
| 069 Finance Data Project Overview.mp4 |
16.37Мб |
| 070 Bank Data.html |
642б |
| 071 Finance Project - Solutions Part 1.mp4 |
60.46Мб |
| 072 Finance Project - Solutions Part 2.mp4 |
55.85Мб |
| 073 Finance Project - Solutions Part 3.mp4 |
19.91Мб |
| 074 Welcome to the Machine Learning Section.mp4 |
19.50Мб |
| 075 Link for ISLR.html |
689б |
| 076 Introduction to Machine Learning.mp4 |
37.61Мб |
| 077 Machine Learning with Python.mp4 |
18.78Мб |
| 078 Linear Regression Theory.mp4 |
9.89Мб |
| 079 model_selection Updates for SciKit Learn 0.18.html |
1.13Кб |
| 080 Linear Regression with Python - Part 1.mp4 |
52.30Мб |
| 081 Linear Regression with Python - Part 2.mp4 |
19.27Мб |
| 082 Linear Regression Project Overview.mp4 |
14.20Мб |
| 083 Linear Regression Project Solution.mp4 |
56.46Мб |
| 084 Bias Variance Trade-Off.mp4 |
12.93Мб |
| 085 Logistic Regression Theory.mp4 |
23.54Мб |
| 086 Logistic Regression with Python - Part 1.mp4 |
49.03Мб |
| 087 Logistic Regression with Python - Part 2.mp4 |
38.83Мб |
| 088 Logistic Regression with Python - Part 3.mp4 |
20.02Мб |
| 089 Logistic Regression Project Overview.mp4 |
6.65Мб |
| 090 Logistic Regression Project Solutions.mp4 |
36.69Мб |
| 091 KNN Theory.mp4 |
11.17Мб |
| 092 KNN with Python.mp4 |
54.68Мб |
| 093 KNN Project Overview.mp4 |
7.10Мб |
| 094 KNN Project Solutions.mp4 |
70.85Мб |
| 095 Introduction to Tree Methods.mp4 |
13.49Мб |
| 096 Decision Trees and Random Forest with Python.mp4 |
49.09Мб |
| 097 Decision Trees and Random Forest Project Overview.mp4 |
15.42Мб |
| 098 Decision Trees and Random Forest Solutions Part 1.mp4 |
36.72Мб |
| 099 Decision Trees and Random Forest Solutions Part 2.mp4 |
32.30Мб |
| 100 SVM Theory.mp4 |
9.90Мб |
| 101 Support Vector Machines with Python.mp4 |
56.15Мб |
| 102 SVM Project Overview.mp4 |
11.17Мб |
| 103 SVM Project Solutions.mp4 |
33.57Мб |
| 104 K Means Algorithm Theory.mp4 |
10.98Мб |
| 105 K Means with Python.mp4 |
34.62Мб |
| 106 K Means Project Overview.mp4 |
11.56Мб |
| 107 K Means Project Solutions.mp4 |
56.73Мб |
| 108 Principal Component Analysis.mp4 |
7.12Мб |
| 109 PCA with Python.mp4 |
49.81Мб |
| 110 Recommender Systems.mp4 |
9.10Мб |
| 111 Recommender Systems with Python - Part 1.mp4 |
43.39Мб |
| 112 Recommender Systems with Python - Part 2.mp4 |
39.41Мб |
| 113 Natural Language Processing Theory.mp4 |
9.81Мб |
| 114 NLP with Python - Part 1.mp4 |
47.41Мб |
| 115 NLP with Python - Part 2.mp4 |
49.08Мб |
| 116 NLP with Python - Part 3.mp4 |
43.48Мб |
| 117 NLP Project Overview.mp4 |
8.44Мб |
| 118 NLP Project Solutions.mp4 |
57.69Мб |
| 119 Welcome to the Big Data Section.mp4 |
14.23Мб |
| 120 Big Data Overview.mp4 |
11.29Мб |
| 121 Spark Overview.mp4 |
17.49Мб |
| 122 Local Spark Set-Up.html |
1.90Кб |
| 123 AWS Account Set-Up.mp4 |
13.10Мб |
| 124 Quick Note on AWS Security.html |
688б |
| 125 EC2 Instance Set-Up.mp4 |
86.53Мб |
| 126 SSH with Mac or Linux.mp4 |
10.89Мб |
| 127 PySpark Setup.mp4 |
70.62Мб |
| 128 Lambda Expressions Review.mp4 |
10.31Мб |
| 129 Introduction to Spark and Python.mp4 |
18.08Мб |
| 130 RDD Transformations and Actions.mp4 |
70.80Мб |
| 131 Neural Network Theory.mp4 |
14.52Мб |
| 132 Welcome to the Deep Learning Section.mp4 |
13.35Мб |
| 133 What is TensorFlow.mp4 |
32.80Мб |
| 134 Changes with TensorFlow.html |
2.87Кб |
| 135 TensorFlow Installation.mp4 |
91.93Мб |
| 136 TensorFlow Basics.mp4 |
36.59Мб |
| 137 MNIST with Multi-Layer Perceptron - Part 1.mp4 |
25.22Мб |
| 138 MNIST with Multi-Layer Perceptron - Part 2.mp4 |
45.18Мб |
| 139 MNIST with Multi-Layer Perceptron - Part 3.mp4 |
56.70Мб |
| 140 TensorFlow with ContribLearn.mp4 |
23.76Мб |
| 141 Tensorflow Project Exercise Overview.mp4 |
40.59Мб |
| 142 Tensorflow Project Exercise - Solutions.mp4 |
52.71Мб |
| 143 Discount Coupons for my Courses.html |
1.63Кб |
| Deep-Learning.zip |
1.02Мб |
| FreeTutorials.us.html |
125б |
| Python-Data-Science-and-Machine-Learning-Bootcamp.zip |
132.90Мб |
| Python-Data-Science-and-Machine-Learning-Bootcamp.zip |
132.90Мб |
| Python-DS-Presentations.zip |
2.79Мб |