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100daysofml_telegramgroup

This repository contains all the required documents regarding the 100 Days Of ML Telegram Group which I have initiated in 2019 !!

ai-powered-resume-builder--google-ai-hackathon

amexpert-2019-machine-learning-hackathon

American Express and Analytics Vidhya presents “AmExpert 2019 – Machine Learning Hackathon”

cab-fare-prediction

Predicting the fare of a cab rental company

communicating-data-findings

This project has two parts that demonstrate the importance and value of data visualization techniques in the data analysis process. In the first part, Python visualization libraries are used to systematically explore a selected dataset, starting from plots of single variables and building up to plots of multiple variables. In the second part,a short presentation that illustrates interesting properties, trends, and relationships that is discovered in selected dataset. The primary method of conveying findings will be through transforming exploratory visualizations from the first part into polished, explanatory visualizations.

coursera_capstone

Neighborhood Segmentation and Clustering

coursera_capstone-1

covid-19

Covid-19 India Predictions

cse199

Repository for "How does social media work" section of CSE 199

data

Investigating a dataset

datasciencepractices

datawrangling

I accessed the Twitter API in order to complete a Data Wrangling student project. In this project, I'll be using Tweepy to query Twitter's API for data included in the WeRateDogs Twitter archive. This data will include retweet count and favorite count. Before I can run my API querying code, I need to set up my own Twitter application. Once I have this set up, I will develop some code to create an API object that I'll use to gather Twitter data. After querying each tweet ID, I will write its JSON data to a tweet_json.txt file with each tweet's JSON data on its own line. I will then read this file, line by line, to create a pandas DataFrame that I will assess and clean.

eas503

employee-absenteeism-project

Employee Absenteeism Project

ethereum-fault-detection

heart-disease-prediction

logistic-regression-from-scratch

This repository depicts code of how to perform logistic regression on penguin dataset from scratch without using sklearn library.

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

practical-time-series-analysis-by-aileen-nielsen

Contains datasets, chapter wise exercises

tableau-visualizations

This repository contains different vizes built in tableau public.

talks

Talks at Kaggle Days Meetup Delhi NCR Group

titanic-dataset

Here the standard titanic dataset has been analysed and reuslts have been portrayed using visualisations along with statistical inferences.

ub_iad_days