Kshitiz Omar's repositories

reddit-meme-scrapper

This script serves you fresh memes from your favorite subreddit, in a pdf, delivered right to your E-Mail. Avoid endless scrolling while browsing memes and save your time while having a good laugh!

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Data-visualization-using-Matplotlib-and-Seaborn

This is my work sample of data visualization using Seaborn and Matplotlib plotting libraries in Python. The dataset used is the Haberman dataset, which is a dataset containing data about the Breast cancer survivors between 1958 and 1969. The jupyter notebook is heavily documented with everything you would need to understand this dataset along with all the conclusions made. Have fun!

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fastbook

The fastai book, published as Jupyter Notebooks

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learning

Becoming 1% better at data science everyday

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annotated_research_papers

This repo contains annotated research papers that I found really good and useful

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Black-Friday-Dataset

Analytics Vidhya Practice Problem

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Business-Analytics-problem

Problem statement:

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CAT-CLONE

CLONE of CAT command as in BASH, macOS. Implemented using NodeJS.

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coding-interview-university

A complete computer science study plan to become a software engineer.

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MissionJS

projects that I make while learning web-dev (click to reveal multiple projects)

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git_practice

My first repo.

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grokking_algorithms

Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

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hexbot

Every request returns a different hex code—all 16,777,216 of them.

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Machine_learning_projects

Making predictions using logistic regression, naive Bayes, random forest, CNN, RNN and more

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neural-nets-from-scratch-oops-style

In pursuit of learning Object Oriented programming and neural-nets, here I will try to implement a neural net from scratch using numpy only, in object-oriented style.

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nnfs

Neural Networks from Scratch

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pandas_exercises

Practice your pandas skills!

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Python

All Algorithms implemented in Python

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safecity

SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories, EMNLP 2018

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Stock_price_pred

Hey, I tried to predict stock prices of TESLA MOTORS using three different linear machine learning models. Have fun!

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The_boredless_tourist

Welcome to The Boredless Tourist, an online application giving you the power to find the parts of the city that fit the pace of your life. We at The Boredless Tourist run a recommendation engine using Python. We first evaluate what a person’s interests are and then give them recommendations in their area to venues, restaurants, and historical destinations that we think they’ll be engaged by.

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xlsxpandasformatter

Deals with the limitations of formatting when using Pandas dataframe and xlsxwriter to export to Excel format. Allows to apply format to cells, columns, or rows.

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