Mohammed RAFID DESHMUKH (rafiddeshmukh)

rafiddeshmukh

Geek Repo

Location:Pune, Mahrashtra

Github PK Tool:Github PK Tool

Mohammed RAFID DESHMUKH's repositories

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Classification-Mobile_Price_Range_Prediction

Machine Learning Classification Model for predicting Mobile Price Range ( low cost, medium cost, high cost, very high cost)

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Devnagri_rec

Ecovation_project

Language:PythonStargazers:0Issues:0Issues:0

EDA-Hotel_Booking

Explore and analyze the data to discover important factors that govern the bookings.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

EDA-IMDB-Dataset

You have been hired by a rookie movie producer to help him decide what type of movies to produce and which actors to cast. You have to back your recommendations based on thorough analysis of the data he shared with you which has the list of 3000 movies and the corresponding details.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Emojinator

Eckovation_project

Language:PythonStargazers:0Issues:0Issues:0

Linear-Regression-Geely-Auto-aspires-

A Chinese automobile company Geely Auto aspires to enter the US market by setting up their manufacturing unit there and producing cars locally to give competition to their US and European counterparts.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Netflix_Movies_and_TV_Shows_Clustering

This dataset consists of tv shows and movies available on Netflix as of 2019. Clustering Movies and TV shows

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Regression-Bike_Sharing_Demand_Prediction

Machine Learning Regression model For Bike Sharing Demand Prediction

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Logistic_regression-Telco_customer_churn

To predict the whether a customer will churn or not, based on the variables available in the Telco customer churn data.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Project---Cricket-Scorecard

This data consists of 1417 T20 matches. Each row corresponds to a single T20 match. As a data scientist, you have to first explore the data and check its sanity.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0