manishms18 Goto Github PK

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

air-passengers-time-series-analysis

TIME SERIES ANALYSIS : Forecasted number of passengers for next 10 years of airlines using ARIMA model in python

analysis-of-pubg-game-data

Using Hive, Impala and Spark for analysis of Player Unknown's Battle Grounds (PUBG) Game Data.

audit-risk-prediction-for-a-financial-firm

MACHINE LEARNING : Audit risk analysis using multiple firms' historical data using Regression algorithms like KNN, Kernelized SVM, Decision Tree, Random Forest etc.

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

cloud-vision

Sample code for Google Cloud Vision

data-science--cheat-sheet

Cheat Sheets

data-visualization-hackathon

Used excel, python and tableau to create data visualization for exploratory data analysis on Terrorism dataset

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

django-helloworld-example

foreign-direct-investment-dashboard-in-india

DATA ANALYSIS : Tableau Dashboard building for Foreign Direct Investment in India to find the major sector for highest return and forecast the trend

gpa-prediction-using-random-forest

MACHINE LEARNING : Predicting GPA for incoming students based on SAT score, Total hours through fall semester, Verbal/Math SAT score, rank in graduating class, etc. using Random Forest Regressor

hr-application-database-design-and-analysis

Creating HR database using MS SQL, loading data and providing analysis using SQL scripts

icc-cricket-world-cup-2019

Prediction of World Cup 2019 using Artificial Intelligence and Machine Learning.

identify-diabetic-patient-readmission

MACHINE LEARNING : Classified the hospital re-admission probability of a DIABETIC patient by using appropriate Data Science techniques such as Feature Engineering and Model Deployment

identifying-cuisines-type-from-ingredients-using-machine-learning

Using food Ingredients to classify cuisines type using Machine Learning algorithm.

machine-learning-model-deployment-using-flask

Building Linear Regression model for predicting CO2 Emission and deploying using flask in Python

manishms18.github.io

Backend for my personal website www.manishshukla.com

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mcdonalds-data-analysis-using-pandas-profiling

Exploratory Data Analysis for McDonald's Menu using Exploratory analysis

movie-recommendation-engine

Building content based and collaborative filtering recommendation engine for suggesting movies

netflix-data-analysis

predicting-telecom-churn-using-sas

Using SAS to build a predictive model for Churn rate prediction in Telecom industry

resume

Manish Shukla's Resume https://www.manishshukla.com/resume

sign-language-interpreter-using-deep-learning

DEEP LEARNING : A sign language interpreter using live video feed from the camera to help 70 million people suffering from hearing disability by converting sign language into words .

socioeconomic-indicators-in-chicago

Analyzing a real world dataset with SQL and Python in jupyter notebook

sports-expert-system-using-ai

ARTIFICIAL INTELLIGENCE : Built sports expert system using AI CLIPS language to recommend sports by answering questions

unicef-mortality-rate-analysis

DATA ANALYSIS : Found Factors Causing Under 5 Mortality, Trend Analysis and Recommendations for Reducing Under-5 Mortality Rate at Country level