niteshjindal-7/cricket-world-cup2019--fall-of-wicket-prediction-pyspark-MLlib

workflow-docs-search--word-embeddings

EWS-Early-Warning-System

zomato_swiggy--articles-term-frequency-tf-idf

Telecom-Churn

zomato-swiggy-articles--pos-tagging-named-entity-recognition-ner

jigsaw-academy-data-visualization-forbes-data

glucoma-image-classification-ConvNet

zomato-swiggy-articles--web-scrapping

Linear-Regression_Boston-Housing-Prices

unsupervised-learning

bayesian-inferences-multivariate-normal-distribution

zomato-swiggy-articles--LDA-topic-modelling

cricket-world-cup2019--players_data_scrapping

zomato-swiggy--pytrends-googletrends

cricket-world-cup2019--k-means-clustering-on-batsmen-data

jigsaw-academy-assignment-logistic-regression

Decision-Tree

supervised-learning

cricket-world-cup2019--partnership-score-card--graphframes

Data-Preparation-and-Exploration

chicago-divvy-bicycles-analysis--descriptive-analysis-pyspark