Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Complete Machine Learning & Data Science with Python | A-Z
Introduction to Machine Learning
What is Machine Learning? (3:53)
Machine Learning Terminology (2:31)
Project Files
FAQ about Python, Machine Learning
Installations for Python
Installing Anaconda Distribution for Windows (10:35)
Installing Anaconda Distribution for MacOs (6:17)
Installing Anaconda Distribution for Linux (14:43)
Overview of Jupyter Notebook and Google Colab (5:31)
Evalution Metrics in machine learning
Classification vs Regression in Machine Learning (3:23)
Machine Learning Model Performance Evaluation: Classification Error Metrics (18:02)
Evaluating Performance: Regression Error Metrics in Python (9:51)
Machine Learning With Python (18:13)
Supervised Learning with machine learning
What is Supervised Learning in Machine Learning? (5:06)
Linear Regression Algorithm in Machine Learning A-Z
Linear Regression Algorithm Theory in Machine Learning A-Z (7:47)
Linear Regression Algorithm With Python Part 1 (14:57)
Linear Regression Algorithm With Python Part 2 (23:39)
Linear Regression Algorithm With Python Part 3 (15:46)
Linear Regression Algorithm With Python Part 4 (19:22)
Bias Variance Trade-Off
What is Bias Variance Trade-Off? (10:47)
Logistic Regression
What is Logistic Regression Algorithm in Machine Learning? (4:39)
Logistic Regression Algorithm with Python Part 1 (13:45)
Logistic Regression Algorithm with Python Part 2 (18:16)
Logistic Regression Algorithm with Python Part 3 (7:54)
Logistic Regression Algorithm with Python Part 4 (9:18)
Logistic Regression Algorithm with Python Part 5 (8:11)
K-fold Cross-Validation in Machine Learning A-Z
K-Fold Cross-Validation Theory (4:17)
K-Fold Cross-Validation with Python (6:33)
K Nearest Neighbors Algorithm
K Nearest Neighbors Algorithm with Python Part 1 (7:22)
K Nearest Neighbors Algorithm Theory (6:33)
K Nearest Neighbors Algorithm with Python Part 2 (12:06)
K Nearest Neighbors Algorithm with Python Part 3 (7:47)
Hyperparameter Optimization
Hyperparameter Optimization Theory (6:24)
Hyperparameter Optimization with Python (9:56)
Decision Trees And Random Forest Algorithm
Decision Tree Algorithm Theory (9:18)
Decision Tree Algorithm with Python Part 1 (7:06)
Decision Tree Algorithm with Python Part 2 (8:35)
Decision Tree Algorithm with Python Part 3 (3:27)
Decision Tree Algorithm with Python Part 4 (9:08)
Decision Tree Algorithm with Python Part 5 (5:58)
Random Forest Algorithm in Machine Learning A-Z
Random Forest Algorithm Theory (5:46)
Random Forest Algorithm with Pyhon Part 1 (5:54)
Random Forest Algorithm with Pyhon Part 2 (8:15)
Support Vector Machine Algorithm
Support Vector Machine Algorithm Theory (5:09)
Support Vector Machine Algorithm with Python Part 1 (5:31)
Support Vector Machine Algorithm with Python Part 2 (8:15)
Support Vector Machine Algorithm with Python Part 3 (10:43)
Support Vector Machine Algorithm with Python Part 4 (8:42)
Unsupervised Learning
Unsupervised Learning Overview (3:31)
K Means Clustering Algorithm
K Means Clustering Algorithm Theory (4:10)
K Means Clustering Algorithm with Python Part 1 (7:06)
K Means Clustering Algorithm with Python Part 2 (6:50)
K Means Clustering Algorithm with Python Part 3 (6:51)
K Means Clustering Algorithm with Python Part 4 (7:08)
Hierarchical Clustering Algorithm
Hierarchical Clustering Algorithm Theory (4:39)
Hierarchical Clustering Algorithm with Python Part 1 (7:50)
Hierarchical Clustering Algorithm with Python Part 2 (5:54)
Principal Component Analysis (PCA)
Principal Component Analysis (PCA) Theory (8:47)
Principal Component Analysis (PCA) with Python Part 1 (5:17)
Principal Component Analysis (PCA) with Python Part 2 (1:56)
Principal Component Analysis (PCA) with Python Part 3 (7:30)
Recommender System Algorithm
What is the Recommender System? Part 1 (4:57)
What is the Recommender System? Part 2 (4:23)
K-Fold Cross-Validation Theory
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock