khamzulr Goto Github PK

10-steps-to-become-a-data-scientist

In this repository, we want to review 10 skills as data scientist: Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve real problem for instance predict house prices

courses-introduction-to-python

Introduction to Python by Filip Schouwenaars

data-science-wiki

A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutorials, Scripts and Datasets

data-science-with-python

Belajar Data Science Secara Praktis Menggunakan Python

data_viz

This repo will contain about my trials and learning about data visualization.

datacamp-the-android-app-market-on-google-play-

Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market.

datasciencecurriculum

investigating-netflix-movies-and-guest-stars-in-the-office

In these projects, I’ll apply the skills I learned in Introduction to Python and Intermediate Python to solve a real-world data science problem. I’ll press “watch next episode” to discover if Netflix’s movies are getting shorter over time and which guest stars appear in the most popular episode of "The Office", using everything from lists and loops to pandas and matplotlib. This project helps me gain experience in an essential data science skill — exploratory data analysis, which allows me to perform critical tasks such as manipulating raw data and drawing conclusions from plots I create of the data.

kaj0ls

Config files for my GitHub profile.

project-what-and-where-are-the-world-s-oldest-businesses-

SQL Project by DataCamp

simple_pricehouse_prediction

ta_face_alpr_indonesia

tableau_covid-dataacademytask

Dashboard Covid-19 Indonesia

the-github-history-of-the-scala-language

Open source projects contain entire development histories, such as who made changes, the changes themselves, and code reviews. In this project, you'll be challenged to read in, clean up, and visualize the real-world project repository of Scala that spans data from a version control system (Git) as well as a project hosting site (GitHub). With almost 30,000 commits and a history spanning over ten years, Scala is a mature language. You will find out who has had the most influence on its development and who are the experts. The dataset includes the project history of Scala retrieved from Git and GitHub as a set of CSV files.