Machine learning for beginner(Data Science enthusiast)
This repository helps those who has just started or has intermediate experince in machine learning. It contains numerous examples, white papers/research papers , Blogs, implemented algorithms and business usecase documents. Our only goal is to help newcomers in datascience and hence future as well, will keep updating this repo with link papers and document related to new learning. Your feedback, comments & appreciation is always aids to improve further
Here is some of the quick link through which you can refer and detailed version listed in repo's folder-
Hypothesis testing explanation follow medium article - https://medium.com/@yugagrawal95/hypothesis-testing-in-machine-learning-using-python-a0dc89e169ce
K-means clustering using seaborn visualization check - https://www.kaggle.com/yugagrawal95/k-means-clustering-using-seaborn-visualization
RFM Analysis using Python - https://www.kaggle.com/yugagrawal95/rfm-analysis
Market Basket Analysis using Apriori - https://www.kaggle.com/yugagrawal95/market-basket-analysis-apriori-in-python
Product Recommendation using collaborative filtering - using User-User and Item-Item approach - https://www.kaggle.com/yugagrawal95/collaborative-filtering
Scale machine learning using pyspark on titanic dataset using pipeline - https://github.com/yug95/MachineLearning/tree/master/Spark-ml
Deploy scale model built in pyspark using Flask webapp - https://github.com/yug95/MachineLearning/tree/master/flask_app_deployment
White paper on Business impact of Covid-19 on Production & Manufacturing - https://www.affineanalytics.com/business-impacts-of-covid-19-on-production-manufacturing/
rottentomatoes.com, Movie Tomatometer score Scraping code - https://www.kaggle.com/yugagrawal95/rotten-tomatoes-movie-tometometer-score-scraping?scriptVersionId=51315474
Ad-Stock Calculation for Media Spend ( Market Mix Model ) - https://www.kaggle.com/yugagrawal95/media-ad-stock-calculation-code?scriptVersionId=51456575
Timeseries Forecasting using SARIMA (Seasonal Arima) Method - https://www.kaggle.com/yugagrawal95/time-series-forecast-using-sarima-technique
Timeseries Forecasting using structural time series method by Tensorflow - https://www.kaggle.com/yugagrawal95/tensorflow-strcutural-timeseries-forecast?scriptVersionId=51461325
Timeseries Analysis using Light Gradient Boosting Machine LGBM - https://www.kaggle.com/yugagrawal95/multivariate-timeseries-analysis-by-lgbm?scriptVersionId=51462812
Sentiment Analysis using Logistic Regression by leveraging NLTK - https://www.kaggle.com/yugagrawal95/sentiment-analysis-using-logistic-regression?scriptVersionId=52508951
Hidden and Interesting odds of Machine learning - https://medium.com/@yugagrawal95/hidden-and-interesting-odds-of-machine-learning-759d1fd3fe26
Marketing Mix Modelling: What Drives Your ROI? - https://medium.com/@yugagrawal95/marketing-mix-modelling-what-drives-your-roi-191402f8e683
Price Elasticity: How Vulnerable Is Your Product In The Market? - https://medium.com/@yugagrawal95/price-elasticity-how-vulnerable-is-your-product-in-the-market-b11067b83f4a