Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

A face detection program in python using Viola-Jones algorithm.

Predict churning or not from the real-world data of a ridesharing app

Machine learning competition on kaggle

515k Hotel reviews classifier with bidirectional lstm

Built Random Forest and GBDT using XGBOOST model on Amazon fine food review dataset

I developed a model to predict the severity of earthquakes in Kavrepalanchok. The purpose is to obtain the best model and depth for the prediction and to emphasize the various steps needed to build such a model.

The objective of this analysis was to use machine learning models to accurately predict credit risk.

The Python code for solving a Regression problem for predicting optimum Health Insurance Cost for the Individual. Has through EDA and various Regressor models employed in the prediction. 1. Linear Regression 2. Lasso Regression 3. Elastic Net Regression 4. sklearn.tree.DecisionTreeRegressor 5. sklearn.ensemble.RandomForestRegressor 6. sklearn.ne…

ML algorithms