README.md

Machine Learning Notebook

This repository is tracking basic review from data analysis to advantage machine learning skills.

How to install ?

This repository depends on conda, so you must install conda at first, you can choose anaconda or miniconda. Then you should run bellow commands to setup a conda environment:

~ git clone git@github.com:classtag/machine-learning-notebook.git
~ cd machine-learning-notebook
~ conda env create -f environment.yml 
~ conda activate machine-learning-notebook
~ ./run.sh

Basic package learning

• Numpy for linear algebra
• Pandas for data analysis
• Matpltlib for data visualization
• Seaborn for easier data visualization

Machine learning core algorithms

• Linear regression algorithm principle derivation
• Gradient descent strategy
• Logistic regression
• Decision tree algorithm
• Ensemble algorithm and random forest
• Bayesian
• Support vector machine
• Cluster KMeans
• Cluster DBSCAN
• Dimension reduction algorithm -PCA principal component analysis
• Neural network
• XGBoost
• Word2Vec

Case study and projects

• Python implements logistic regression and gradient descent strategies
• Abnormal transaction data detection
• Build decision tree model with scikit-learn
• Predict survival on the Titanic
• News classification task
• Tuning SVM
• Practice cluster alorithms
• Gensim library is used to construct the vector model of Chinese wiki baidu data words
• Scikit-learn modeling and evaluation
• Analyzes kobe's career
• Time series analysis
• Maximize profits from loan applications
• User loss warning
• EDA Football match dataset
• EDA Fao dataset
• HTTP log clustering analysis