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Clustering-in-Python
Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.Logistic-regression-in-python
Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classifications, Regularization (l1 and l2), Weight of Evidence and Information ValueTree-Based-Models-in-Python
Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classification to random forest tree and classification. Grid Search is also included.Machine-Learning-in-Python-Code
Machine Learning code in python includes topics like Exploratory Data Analysis (EDA), Classification, Regression, Clustering and Dimensionality ReductionML-Notes-Daywise
Machine Learning Note Day Wise (THEORY)EDA-in-Python
Exploratory Data Analysis Theory and Python CodeDimensionality-Reduction-in-Python
Dimensionality Reduction technique in machine learning both theory and code in Python. Includes topics from PCA, LDA, Kernel PCA, Factor Analysis and t-SNE algorithmSQL
Structured Query Language Theory, Case Study and Interview QuestionsNLP-using-Python
Natural Language Processing in PythonProbability-Distributions-in-Machine-Learning
Neural-Network-in-Python
PARAMETRIC-TEST-Statistical-Experiment-and-Significance-Testing
Statistical Experiment and Significance Testing (Parametric Test)Simple-Multiple-Regression-in-Python
Regression Techniques in Machine learning including topics from Assumption, Simple and Multiple Linear Regression. Both theory and python codes are included.Love Open Source and this site? Check out how you can help us