bobbykawade
MS SQL, Data Scientist, Python, R, Statistics, Machine Learning, Data Engineer, Tableau, Data Analyst, SEO, Digital Marketing, Advanced Excel
Transunion Mumbai
Pinned Repositories
Artificial-Neural-Network-ANN-
Deep Learning Projects
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
Bitcoin-Mining
Blood-Transfusion-Prediction-Logistic-Model
Graph-Algorithm-for-Social-Media-Network-Analysis
Heart-Attack-Prediction
A Famous Kaggle Dataset on Heart Attack Prediction
Housing_Dataset_Analysis-using-Pandas
Pandas Profiling
Image-Classification-Using-Deep-Learning-Projects
IRIS-Dataset-KNN-Classifier-Basic
Keyword-Research-with-Python
Keyword Research Using Pytrend Library
bobbykawade's Repositories
bobbykawade/Twitter-Webscraping-Using-Tweepy
Twitter Webscraping Using Tweepy Library
bobbykawade/Job-Recommendation
bobbykawade/Employee-Attrition-Rate
Classification Problem
bobbykawade/Housing_Dataset_Analysis-using-Pandas
Pandas Profiling
bobbykawade/Instagram-Bot
Instagram bot
bobbykawade/Time-Series-Models-in-R
Time Series Models
bobbykawade/Fashion-MNIST-Dataset-Convolution-Neural-Network
Project on Fashion MNIST Dataset Using CNN
bobbykawade/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
bobbykawade/Prediction-using-Supervised-ML
Simple Linear Regression
bobbykawade/math-for-machine-learning
Statistics and math for machine learning and data science
bobbykawade/Blood-Transfusion-Prediction-Logistic-Model
bobbykawade/Technocolabs-Internship-Majpr-Project-Bitcoin-API-Price-Prediction-Based-on-Twitter-Sentiments
Project shows that real-time Twitter data can be used to predict market movement of Bitcoin Price. The goal of this project is to prove whether Twitter data relating to cryptocurrencies can be utilized to develop advantageous crypto coin trading strategies. By way of supervised machine learning techniques, have outlined several machine learning pipelines with the objective of identifying cryptocurrency market movement. The prominent alternative currency ex- amined in this paper is Bitcoin (BTC). Our approach to cleaning data and applying supervised learning algorithms such as logistic regression, Decision Tree Classifier, and LDA leads to a final prediction accuracy exceeding 70%. In order to achieve this result, rigorous error analysis is employed in order to ensure that accurate inputs are utilized at each step of the model.
bobbykawade/technocolab_major_project
bobbykawade/Principal-Component-Analysis-PCA-
Done PCA on Food Outlet
bobbykawade/HR---Performance-Rating
HR Classification Problem of Performance Rating Model
bobbykawade/Data-Science-Internship
Data Science
bobbykawade/hr
Odoo Human Resources Addons
bobbykawade/building-intelligent-twitter-bot-post
bobbykawade/Hospital-Management-System
SQL Database implementation of Hospital Management workflow
bobbykawade/Heroku-Demo
bobbykawade/TwitterSentimentAndCryptocurrencies
Analysis of Twitter Sentiment to discover correlations with Bitcoin and other cryptocurrencies