Machine Learning with Python Course

Machine Learning with Python Course

Machine Learning with Python Course

What is Data Science?
What is Machine Learning?
What is Deep Learning?
What is AI?
Linear Regression
Linear Equation- Slope Intercept
R square value
Regression
MSE
RMSE
MAPE
Practical Implementation-Linear Regression
Logistic regression
Confusion Matrix
Precision
Recall
Specificity
F1 Score
Practical Implementation-Logistic Regression
Underfitting
Overfitting
Euclidean Distance
Manhattan Distance
Bias Variance Trade off
K Nearest Neighbour
Naïve Bayes Classifier
Practical Implementation-KNN, Naïve Bayes
Hyperplane
SVM
Practical Implementation-SVM
Decision Tree
Bagging
Practical Implementation-Decision Tree and Bagging
Boosting techniques
Practical Implementation- Boosting
Comparison between Bagging and Boosting
Introduction to Unsupervised Learning
Revision on Supervised Learning
K-Means
K Means ++
Hierarchical Clustering
Practical Implementation-K Means, Hierarchial
Feature Engineering
Cross validation Techniques
Bootstrap Sampling
Up sampling and Down Sampling
ROC Threshold Management
Pipeline
Randomized search CV
Grid search CV
Hyperparameter Tuning
Model Tuning
Why Recommendation Systems
Cosine Similarity
Popularity based recommendations
Content Based Recommendations
Matrix factorization
Singular Value Decomposition (SVD)
Collaborative based Recommendation
Practical implementation- Collaborative based Recommendation
Market Basket Analysis

Lessons

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