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Learn Python for Data Science & Machine Learning from AZ
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[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ (Size: 7.46 GB) (Files: 457)
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ
19 - PCA
127 - PCA Image Compression.mp4
122 - What is PCA English.vtt
125 - SVD details.txt
127 - cat.png
127 - Compression Ratio.txt
129 - PCA Biplot and the Screen Plot.mp4
127 - PCA Image Compression English.vtt
129 - PCA Biplot and the Screen Plot English.vtt
128 - PCA Data Preprocessing English.vtt
124 - PCA Algorithm Steps Mathematics English.vtt
124 - Linear Algebra Refresher.txt
124 - Principal components eigenvectors.txt
130 - PCA Feature Scaling and Screen Plot English.vtt
132 - PCA Visualization English.vtt
128 - PCA Data Preprocessing.mp4
131 - PCA Supervised vs Unsupervised English.vtt
121 - PCA Section Overview English.vtt
125 - Covariance Matrix vs SVD English.vtt
123 - PCA Drawbacks English.vtt
126 - PCA Main Applications English.vtt
129 - USArrests.csv
130 - PCA Feature Scaling and Screen Plot.mp4
132 - PCA Visualization.mp4
124 - PCA Algorithm Steps Mathematics.mp4
122 - What is PCA.mp4
125 - Covariance Matrix vs SVD.mp4
131 - PCA Supervised vs Unsupervised.mp4
121 - PCA Section Overview.mp4
123 - PCA Drawbacks.mp4
126 - PCA Main Applications.mp4
121 - PCAipynb
6 - NumPy Data Analysis
45 - NumPyBasics.pdf
47 - NumPy Arrays Basics English.vtt
45 - Intro NumPy Array Data Types English.vtt
48 - NumPy Array Indexing English.vtt
46 - NumPy Arrays English.vtt
49 - NumPy Array Computations English.vtt
50 - Broadcasting English.vtt
47 - NumPy Arrays Basics.mp4
48 - NumPy Array Indexing.mp4
45 - Intro NumPy Array Data Types.mp4
46 - NumPy Arrays.mp4
50 - Broadcasting.mp4
49 - NumPy Array Computations.mp4
15 - Decision Trees
80 - Adult Dataset.txt
86 - Evaluating our ID3 implementation English.vtt
85 - ID3 Putting Everything Together.mp4
81 - What is Entropy and Information Gain.mp4
87 - Passing categorical data to Sklearn Decision Tree.txt
85 - ID3 Putting Everything Together English.vtt
81 - What is Entropy and Information Gain English.vtt
79 - DecisionTreesipynb
87 - Categorical feature in Treebased classifiers.txt
91 - Pruning English.vtt
80 - EDA on Adult Dataset English.vtt
90 - Decision Trees Hyperparameters English.vtt
82 - The Decision Tree ID3 algorithm from scratch Part 1 English.vtt
88 - Visualizing the tree English.vtt
79 - Decision Trees Section Overview English.vtt
80 - EDA on Adult Dataset.mp4
87 - Compare with Sklearn implementation English.vtt
86 - Evaluating our ID3 implementation.mp4
83 - The Decision Tree ID3 algorithm from scratch Part 2 English.vtt
93 - Decision Trees Pros and Cons English.vtt
89 - Plot the features importance English.vtt
80 - adultnames.csv
84 - The Decision Tree ID3 algorithm from scratch Part 3 English.vtt
92 - Optional Gain Ration English.vtt
94 - Project Predict whether income exceeds 50Kyr Overview English.vtt
91 - Pruning.mp4
82 - The Decision Tree ID3 algorithm from scratch Part 1.mp4
90 - Decision Trees Hyperparameters.mp4
88 - Visualizing the tree.mp4
87 - Compare with Sklearn implementation.mp4
83 - The Decision Tree ID3 algorithm from scratch Part 2.mp4
93 - Decision Trees Pros and Cons.mp4
84 - The Decision Tree ID3 algorithm from scratch Part 3.mp4
89 - Plot the features importance.mp4
92 - Optional Gain Ration.mp4
79 - Decision Trees Section Overview.mp4
94 - Project Predict whether income exceeds 50Kyr Overview.mp4
80 - adultdata.csv
80 - adulttest.csv
16 - Ensemble Learning and Random Forests
100 - Implementing Random Forests from scratch Part 1.mp4
95 - EnsembleLearningipynb
96 - Ensemble Learning Example.txt
100 - Implementing Random Forests from scratch Part 1 English.vtt
107 - AdaBoost Part 2 English.vtt
96 - What is Ensemble Learning English.vtt
97 - What is Bootstrap Sampling English.vtt
99 - OutofBag Error OOB Error English.vtt
101 - Implementing Random Forests from scratch Part 2 English.vtt
104 - Random Forests Pros and Cons English.vtt
98 - What is Bagging English.vtt
105 - What is Boosting English.vtt
103 - Random Forests HyperParameters English.vtt
106 - AdaBoost Part 1 English.vtt
95 - Ensemble Learning Section Overview English.vtt
102 - Compare with sklearn implementation English.vtt
96 - What is Ensemble Learning.mp4
107 - AdaBoost Part 2.mp4
97 - What is Bootstrap Sampling.mp4
101 - Implementing Random Forests from scratch Part 2.mp4
99 - OutofBag Error OOB Error.mp4
103 - Random Forests HyperParameters.mp4
105 - What is Boosting.mp4
98 - What is Bagging.mp4
102 - Compare with sklearn implementation.mp4
106 - AdaBoost Part 1.mp4
104 - Random Forests Pros and Cons.mp4
95 - Ensemble Learning Section Overview.mp4
14 - K Nearest Neighbors
66 - KNNipynb
68 - EDA on Iris Dataset English.vtt
68 - EDA on Iris Dataset.mp4
68 - Sklearn Toy Datasets.txt
74 - MIT example.txt
73 - Stanford Demo KNN Decision Boundary.txt
70 - Implement the KNN algorithm from scratch English.vtt
74 - Manhattan vs Euclidean Distance English.vtt
72 - Hyperparameter tuning using the crossvalidation English.vtt
69 - The KNN Intuition English.vtt
76 - Curse of dimensionality English.vtt
75 - Feature scaling in KNN English.vtt
78 - KNN pros and cons English.vtt
73 - The decision boundary visualization English.vtt
71 - Compare the result with the sklearn library English.vtt
77 - KNN use cases English.vtt
67 - parametric vs nonparametric models English.vtt
66 - KNN Overview English.vtt
72 - Hyperparameter tuning using the crossvalidation.mp4
70 - Implement the KNN algorithm from scratch.mp4
74 - Manhattan vs Euclidean Distance.mp4
75 - Feature scaling in KNN.mp4
76 - Curse of dimensionality.mp4
78 - KNN pros and cons.mp4
77 - KNN use cases.mp4
71 - Compare the result with the sklearn library.mp4
73 - The decision boundary visualization.mp4
67 - parametric vs nonparametric models.mp4
66 - KNN Overview.mp4
69 - The KNN Intuition.mp4
3 - Python For Data Science
15 - PythonBasics.pdf
27 - Is it possible to have autocomplete in a notebook in Google Colab.txt
16 - JupyterNotebook.pdf
15 - ImportingPythonData.pdf
18 - Python Variables Booleans and None English.vtt
28 - Python Official Docs on Dictionaries.txt
20 - Python Operators English.vtt
28 - Python Dictionaries English.vtt
32 - Object Oriented Programming in Python English.vtt
31 - Python Functions English.vtt
26 - More about Lists English.vtt
23 - Python Conditional Statements English.vtt
30 - Compound Data Types & When to use each one English.vtt
22 - Python Strings English.vtt
27 - Python Tuples English.vtt
29 - Python Sets English.vtt
19 - Getting Started with Google Colab English.vtt
24 - Python For Loops and While Loops English.vtt
21 - Python Numbers & Booleans English.vtt
14 - What is Programming English.vtt
25 - Python Lists English.vtt
15 - Why Python for Data Science English.vtt
16 - What is Jupyter English.vtt
17 - What is Google Colab English.vtt
28 - Python Dictionaries.mp4
20 - Python Operators.mp4
32 - Object Oriented Programming in Python.mp4
31 - Python Functions.mp4
26 - More about Lists.mp4
22 - Python Strings.mp4
23 - Python Conditional Statements.mp4
27 - Python Tuples.mp4
30 - Compound Data Types & When to use each one.mp4
18 - Python Variables Booleans and None.mp4
19 - Getting Started with Google Colab.mp4
29 - Python Sets.mp4
21 - Python Numbers & Booleans.mp4
24 - Python For Loops and While Loops.mp4
25 - Python Lists.mp4
14 - What is Programming.mp4
15 - Why Python for Data Science.mp4
16 - What is Jupyter.mp4
17 - What is Google Colab.mp4
7 - Pandas Data Analysis
51 - PandasBasics.pdf
51 - Pandas.pdf
52 - Introduction to Pandas Continued English.vtt
51 - Introduction to Pandas English.vtt
52 - Introduction to Pandas Continued.mp4
51 - Introduction to Pandas.mp4
5 - Probability & Hypothesis Testing
42 - Expected Values English.vtt
44 - Hypothesis Testing Overview English.vtt
43 - Relative Frequency English.vtt
41 - What Exactly is Probability English.vtt
44 - Hypothesis Testing Overview.mp4
43 - Relative Frequency.mp4
41 - What Exactly is Probability.mp4
42 - Expected Values.mp4
18 - Kmeans
118 - Unsupervised Machine Learning Intro English.vtt
119 - Unsupervised Machine Learning Continued English.vtt
120 - Data Standardization English.vtt
118 - UnsupervisedLearning.pdf
120 - Data Standardization.mp4
118 - Unsupervised Machine Learning Intro.mp4
119 - Unsupervised Machine Learning Continued.mp4
9 - Machine Learning
56 - SupervisedLearning.pdf
56 - Introduction To Machine Learning English.vtt
56 - Introduction To Machine Learning.mp4
13 - Linear and Logistic Regression
63 - Linear Regression Correlation Methods English.vtt
61 - Linear Regression Intro English.vtt
62 - Gradient Descent English.vtt
64 - Linear Regression Implementation English.vtt
65 - Logistic Regression English.vtt
63 - Linear Regression Correlation Methods.mp4
61 - Linear Regression Intro.mp4
64 - Linear Regression Implementation.mp4
62 - Gradient Descent.mp4
65 - Logistic Regression.mp4
8 - Python Data Visualization
53 - Data Visualization Overview English.vtt
54 - Different Data Visualization Libraries in Python English.vtt
55 - Python Data Visualization Implementation English.vtt
53 - Data Visualization Overview.mp4
54 - Different Data Visualization Libraries in Python.mp4
55 - Python Data Visualization Implementation.mp4
1 - Introduction
6 - How To Get a Data Science Job English.vtt
5 - What is a Data Scientist English.vtt
6 - How To Get a Data Science Job.mp4
5 - What is a Data Scientist.mp4
7 - Data Science Projects Overview English.vtt
4 - Data Science Job Roles English.vtt
2 - Data Science Machine Learning Marketplace English.vtt
3 - Data Science Job Opportunities English.vtt
1 - Who is This Course For English.vtt
4 - Data Science Job Roles.mp4
7 - Data Science Projects Overview.mp4
2 - Data Science Machine Learning Marketplace.mp4
3 - Data Science Job Opportunities.mp4
1 - Who is This Course For.mp4
17 - Support Vector Machines
113 - SVM Kernel Types English.vtt
117 - Kaggle Gender Recognition by Voice and Speech Analysis.txt
113 - SVM RBF Visualization.txt
113 - SVM with polynomial kernel visualization.txt
114 - SVM with Linear Dataset Iris English.vtt
110 - Hard vs Soft Margins English.vtt
115 - SVM with Nonlinear Dataset English.vtt
112 - Kernel Trick English.vtt
109 - SVM intuition English.vtt
113 - SVM Kernel Types.mp4
108 - SVMipynb
108 - SVM Outline English.vtt
116 - SVM with Regression English.vtt
117 - Project Voice Gender Recognition using SVM English.vtt
111 - C hyperparameter English.vtt
115 - SVM with Nonlinear Dataset.mp4
114 - SVM with Linear Dataset Iris.mp4
112 - Kernel Trick.mp4
110 - Hard vs Soft Margins.mp4
109 - SVM intuition.mp4
117 - Project Voice Gender Recognition using SVM.mp4
108 - SVM Outline.mp4
116 - SVM with Regression.mp4
111 - C hyperparameter.mp4
11 - Data Cleaning
58 - Feature Scaling English.vtt
59 - Data Cleaning English.vtt
59 - Data Cleaning.mp4
58 - Feature Scaling.mp4
2 - Data Science & Machine Learning Concepts
11 - Machine Learning Concepts & Algorithms English.vtt
10 - What is Machine Learning English.vtt
9 - What is Data Science English.vtt
13 - Machine Learning vs Deep Learning English.vtt
12 - What is Deep Learning English.vtt
8 - Why We Use Python English.vtt
9 - What is Data Science.mp4
10 - What is Machine Learning.mp4
11 - Machine Learning Concepts & Algorithms.mp4
12 - What is Deep Learning.mp4
13 - Machine Learning vs Deep Learning.mp4
8 - Why We Use Python.mp4
4 - Statistics for Data Science
38 - Inferential Statistics English.vtt
39 - Measure of Asymmetry English.vtt
35 - Measure of Variability English.vtt
36 - Measure of Variability Continued English.vtt
33 - Intro To Statistics English.vtt
37 - Measures of Variable Relationship English.vtt
40 - Sampling Distribution English.vtt
34 - Descriptive Statistics English.vtt
38 - Inferential Statistics.mp4
35 - Measure of Variability.mp4
36 - Measure of Variability Continued.mp4
40 - Sampling Distribution.mp4
37 - Measures of Variable Relationship.mp4
34 - Descriptive Statistics.mp4
33 - Intro To Statistics.mp4
39 - Measure of Asymmetry.mp4
10 - Data Loading & Exploration
57 - Exploratory Data Analysis English.vtt
57 - Exploratory Data Analysis.mp4
20 - Data Science Career
133 - Creating A Data Science Resume English.vtt
137 - Top Freelance Websites English.vtt
135 - How to Contact Recruiters English.vtt
136 - Getting Started with Freelancing English.vtt
138 - Personal Branding English.vtt
139 - Networking Dos and Donts English.vtt
134 - Data Science Cover Letter English.vtt
140 - Importance of a Website English.vtt
133 - Creating A Data Science Resume.mp4
138 - Personal Branding.mp4
136 - Getting Started with Freelancing.mp4
137 - Top Freelance Websites.mp4
135 - How to Contact Recruiters.mp4
139 - Networking Dos and Donts.mp4
134 - Data Science Cover Letter.mp4
140 - Importance of a Website.mp4
12 - Feature Selecting and Engineering
60 - Feature Engineering English.vtt
60 - Feature Engineering.mp4
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