ML-DL-Algorithms

Machine Learning and Deep Learning Algorithms with implementation

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Algorithms		Algorithms
Decision Tree_Practice_Scratch.ipynb		Decision Tree_Practice_Scratch.ipynb
Gradient Descent Practice.ipynb		Gradient Descent Practice.ipynb
Iris_analysis_ML.ipynb		Iris_analysis_ML.ipynb
K-Means Clustring Unsupervised Learning.ipynb		K-Means Clustring Unsupervised Learning.ipynb
KNN Self Implementation.ipynb		KNN Self Implementation.ipynb
Logistic Regression ML.ipynb		Logistic Regression ML.ipynb
Math for Machine Learning		Math for Machine Learning
NLP 1.ipynb		NLP 1.ipynb
Naive Bayes Classifier.ipynb		Naive Bayes Classifier.ipynb
Naive_bayes_Iris_Dataset.ipynb		Naive_bayes_Iris_Dataset.ipynb
PCA on Image Analysis.ipynb		PCA on Image Analysis.ipynb
PCA(Principle Component Analysis).ipynb		PCA(Principle Component Analysis).ipynb
Pandas_melt.ipynb		Pandas_melt.ipynb
Prac_matplotlin.ipynb		Prac_matplotlin.ipynb
Practice_with_KNN.ipynb		Practice_with_KNN.ipynb
README.md		README.md
SUV Analysis Logistic_Regression.ipynb		SUV Analysis Logistic_Regression.ipynb
Titanic Analysis.ipynb		Titanic Analysis.ipynb
Univariate, Bivariate and Multivariate Analysis.ipynb		Univariate, Bivariate and Multivariate Analysis.ipynb
linear_regression_ML.ipynb		linear_regression_ML.ipynb

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