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Hi πŸ‘‹, I'm Sadaf Saleem

A passionate data science enthusiast from Pakistan.

  • 🌱 I’m currently learning Data Science from Data Camp.

  • πŸ“« How to reach me [email protected]

Connect with me:

sadafsaleem5815 https://www.linkedin.com/in/sadaf-saleem-1246a3216/ https://stackoverflow.com/users/19243556/sadaf-saleem https://web.facebook.com/sadaf.saleem.3150807/?_rdc=1&_rdr https://www.instagram.com/sdf_saleem/

Languages and Tools:

mysql pandas python scikit_learn seaborn sqlite

Β sadafsaleem123

Sadaf Saleem's Projects

100-days-of-ml-code icon 100-days-of-ml-code

This Repo contains all my work done during 100 days of ML code challenge. Also check my Twitter where I update progress daily @AhmadMustafaAn1

100-days-of-ml-code-with-python icon 100-days-of-ml-code-with-python

This is a repository for my 100 Days of ML Code journey with Bytewise Limited, where I'll be learning and practicing machine learning and data science concepts using Python.

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

data-science-projects---eda icon data-science-projects---eda

The projects I've done over the course of time for practicing my EDA and Data Science skills. You can check the code out and learn!

data-science-resources icon data-science-resources

A repository which contains different learning resources for getting into the Data Science and Machine Learning field.

data-science-workshop icon data-science-workshop

It is an introductory workshop, in which we are performing data exploration, cleaning, joining and some visualizations.

exploring_dataframe icon exploring_dataframe

A first taking simple project on how to working and exploring data frames in Python

first_ml_model icon first_ml_model

This is a kaggle project where I was supposed to work on my first machine learning project from Intro to Machine Learning course.

google-play-store-apps-and-reviews icon google-play-store-apps-and-reviews

Mobile apps are everywhere. They are easy to create and can be lucrative. Because of these two factors, more and more apps are being developed. In this notebook, we will do a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories. We'll look for insights in the data to devise strategies to drive growth and retention. Let's take a look at the data, which consists of two files: apps.csv: contains all the details of the applications on Google Play. There are 13 features that describe a given app. user_reviews.csv: contains 100 reviews for each app, most helpful first. The text in each review has been pre-processed and attributed with three new features: Sentiment (Positive, Negative or Neutral), Sentiment Polarity and Sentiment Subjectivity.

investigating-netflix-movies icon investigating-netflix-movies

Netflix! What started in 1997 as a DVD rental service has since exploded into the largest entertainment/media company by market capitalization, boasting over 200 million subscribers as of January 2021.

learn-with-hacktoberfest icon learn-with-hacktoberfest

This Repository is accepted for Hacktoberfest 2022. Try to push your Valuable code here that can help others. Anything you code (in any language) now a days can push here. Raw and spamming is not accepted.

linkedin-skill-assessments-quizzes icon linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lΓΆsungen, linkedin machine learning test LinkedIn test questions and answers

portfolio icon portfolio

This repository is specially made to showcase my portfolio

python icon python

A beginner friendly repository made specifically for open source beginners for Hacktoberfest. Add any program under any language (it can be anything from a hello-world program to a complex data structure algorithm) or update the existing one. Just make sure you add the program under the correct language directory.

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