GitHub - chandan578/From-Math-to-Models: A complete learning path from mathematical foundations to real-world models in Data Science, Machine Learning, Deep Learning, and NLP — with theory, practice, and end-to-end projects.

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Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
1-Introduction to Statistics		1-Introduction to Statistics
10-Decision Tree		10-Decision Tree
11-Random Forest		11-Random Forest
12-Adaboot		12-Adaboot
13-Gradient Boost		13-Gradient Boost
14-XgBoost		14-XgBoost
15-Unsupervised Learning		15-Unsupervised Learning
16-PCA		16-PCA
17-K Means Clustering		17-K Means Clustering
18-Hierarical Clustering		18-Hierarical Clustering
19-DBSCAN		19-DBSCAN
2-Introduction to ML		2-Introduction to ML
20-Silhoutte Clustering		20-Silhoutte Clustering
21-Anomaly Detection		21-Anomaly Detection
22-Docker/Hello-world		22-Docker/Hello-world
23-git and github		23-git and github
24-NLP for ML		24-NLP for ML
25-Deep Learning Bonus		25-Deep Learning Bonus
3-Linear Regression		3-Linear Regression
4-Rigid Lasso Elasticnet		4-Rigid Lasso Elasticnet
5-Step By Step Project Implemention with lifecycle of ML		5-Step By Step Project Implemention with lifecycle of ML
6-Logistic Regression		6-Logistic Regression
7-Support Vector Machine		7-Support Vector Machine
8-Naive Baye's		8-Naive Baye's
9-KNN Classifier		9-KNN Classifier
.gitignore		.gitignore
readme.md		readme.md
requirement.txt		requirement.txt

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A complete learning path from mathematical foundations to real-world models in Data Science, Machine Learning, Deep Learning, and NLP — with theory, practice, and end-to-end projects.

nlp machine-learning statistics ai deep-learning ml ai-ml