Machine Learning Challenge for 30 Days by doing a Hands-On Kaggle and upgrade your badge
This is all base on the Challenges and Excercise on the Kaggle
Kaggle is a plafrom where all over the Globe Data Scienctist and Machine Learning Experts meet together.
Kaggle contains the Datasets,Codes,Competition,Courses and Discussion sections.
The Datasets is like a energy or food to the model of any machine learning, or data science project and kaggle containg more than 54k+ Public Datasets to work on them.
It not enough to just containg a datasets, these datasets are used by all around the World by more than One Million Active Users. These people work on the datasets.
The globally hosted competition are taken here with a cash-prizes and also a prizes of swags and like more than thousands of teams are participate in the competitions. These competition are offered by every compnaies and orgaziations like( Google, Facebook , etc).
Kaggle offered so many courses related to the Machine Learning and Data Science. You can learn these skill by doing a excercises and learnt the theory of course.
To disscus about your problems,projects,codes,dataset.This is all open discussion form that everyone is looking into it and participate.
In this Repo, I'll update all the days of my kaggle work with the Excercise and all the stuff I'll learn during this 30 Days Challenge.
In the first 2 weeks, you’ll receive hands-on assignments delivered to your inbox. The goal of these assignments is to rapidly cover the most essential skills needed to get your hands dirty with data. You'll start by learning how to code in Python and quickly learn how to build your first machine learning model.
After tackling these core concepts, you’ll be invited to a super fun, beginner-friendly Kaggle machine learning competition to test your knowledge. Through practice, you’ll explore the best ways to use Kaggle as a learning resource and connect with other data scientists.
On top of all of this, you’ll have the opportunity to attend elective workshops and seminars hosted by data scientists from Google's Developer Experts Program. The challenge kicks off on August 2nd and only requires a Kaggle account.
- Day 01 Getting Started with the Kaggle and Complete lesson 01,02,03 from Python Course
- Day 02 Complete the lesson 04,05 of Python Course from the Kaggle.
- Day 03 Complete the lesson 06,07 of Python Course from the Kaggle.
- Day 04 Get into the competition of kaggle to participate in the challenge problem.
- Day 05 Started the Intro to Machine Learning Course and complete the lesson 01, 02.
- Day 06 Participate in the Kaggle Dataset to getting the HandsOn in the Machine Learning.
- Day 07 Complete the lesson 03,04 from the Intro to Machine Learning course.
- Day 08 Complete the lesson 05,06,07 and completed the whole course Intro to Machine Learning.
- Day 09 Participate in the competition to get the working with the real-data to explore the Machine Learning concepts with data.
- Day 10 Started the new Course Intermediate with Machine learning and done with the lesson 01,02 and 03.
- Day 11 Complete the course lesson 04 and 05 of Intermediate with Machine learning.
- Day 12 Completed the course of Intermediate with Machine Learning with lesson 06 and 07.
- Day 13 Compete in the competition of Kaggle for the contribution on project.
- Day 14 Now contributing on the different dataset and competition project for the practice with real data and secenrios.
- Day 30 In past 15 Day, I worked on the contribution in projects and dataset.