vaibhav-cric

Antallagma-Trade-Forecast

Used linear regression, XGBoost , Naive forecast, simple moving average, exponential moving average and time series model ARIMA to forecast the number of sales as well as the price

fractal_hackerrank_hiring_challenge_1

fractal_hackerrank_hiring_challenge_2

fractal_hackerrank_hiring_challenge_3

hackathon_startupfunds

done extensive eda to get insights and applied binning,linear regularization with heavy regularization,decision tree and finally a random forest

housing_dataset

used linear regression to predict the sales price of house...also done feature engineering...also found out the most important features

my_first-repository

hello world in github

numpy_advanced_project

pandas_project

python_getting_started_project

vaibhav-cric/Antallagma-Trade-Forecast

Used linear regression, XGBoost , Naive forecast, simple moving average, exponential moving average and time series model ARIMA to forecast the number of sales as well as the price

vaibhav-cric/fractal_hackerrank_hiring_challenge_1

vaibhav-cric/fractal_hackerrank_hiring_challenge_2

vaibhav-cric/fractal_hackerrank_hiring_challenge_3

vaibhav-cric/hackathon_startupfunds

done extensive eda to get insights and applied binning,linear regularization with heavy regularization,decision tree and finally a random forest

vaibhav-cric/housing_dataset

used linear regression to predict the sales price of house...also done feature engineering...also found out the most important features

vaibhav-cric/my_first-repository

hello world in github

vaibhav-cric/numpy_advanced_project

vaibhav-cric/pandas_project

vaibhav-cric/python_getting_started_project

vaibhav-cric/python_intermediate_project

vaibhav-cric/visualization_matplotlib_project

vaibhav-cric/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow