Abhishek's repositories
Apple_DataAnalyis_ApacheSpark
Analyzed Apple's dataset to check how many people bought Airpods after buying Mac or iPhone. Thereafter, using ML and predictive analytics to check future outcomes.
DataScience_KnowHow
This repository is dedicated to all the important and insightful resources dedicated to Data Science, Machine Learning (ML), Artificial Intelligence (AI) and all the other related domains. Feel free to come along to share your thoughts, & reference materials.
chicagohood_ml
Helping upcoming student in selecting the best Neighborhood to live near to their schools based on AI-driven tags.
Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
PY-RegularExpressionX
Everything you need to know about Regular Expression in python for scientific work, especially related to Data Science.
EDA_Experiments
In this repo I'll use different types of datasets to explore and implement various Exploratory Data Analysis (EDA) approaches.
Recommendation_Systems
This repository contains recommendations system for various business types including sports, entertainment, and healthcare, among others.
CampusAssessment_Portal
A portal based for conducting online examination. The portal have features like cross-checking, assigning marks, result etc.
Data_Visualization
This is a dynamic processing chart, based on D3.JS
MusicTherapyTreatment_EmotionDetection
Develop an ML model to help people overcome mental stress & anxiety, including various mood fluxes via music recommendation.
MHR_Analysis
The notebook aims to examine various factors that impact the health of pregnant women and develop a machine learning model to predict the level of health risk for pregnant women.
MentalHealthIssues_TechIndustry
The project uses statistical techniques to analyzes the responses from an annual OSMI survey that measures attitudes towards mental health and the frequency of mental health disorders in the tech workplace.
ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
Tableau_Dashboards
Consists brief info about all of my tableau dashboards, insights that I got out of them, & the outcomes that I got after analyzing those visualizations.
TextMining-BagOfWords
In this repository I'll try to put everything about text mining, based on my learning with Data Camp.
The-TwitterAlgorithm
Source code for Twitter's Recommendation Algorithm
CrimeRate_Classification
Developing a system that could classify crime descriptions into different categories which would help the authorities to assign officers to crimes based on the report.
DataScience_Snippets
Contains important code snippets of different - algorithms, tricks, among others. For instance- Machine Learning, Data Visualizations, etc.
FBI_NICS-Firearm-Background-Checks
This project is a try to showcase the use of guns across the US.
TwitterTweets_Visualization
In this repository I'll show how to visualize tweets, re tweets for a Particular Twitter Handle on Google Maps using R in simple steps.
PredictiveModelling_Cricket
Using past Sport (Cricket) data to predict next win for Team India, in any format of the cricket.
Facebook_ChatBot
Creating a ChatBot using Python for my facebook page.
Financial-aid-on-coursera-
Applying for financial aid on coursera