Worked on Coursera's ML course in Python

Investment Management & Financial Data Analysis in Python

Kaggle-Survey-2020-Commpetition The code in this Repo is submission for the annual Kaggle ML & DS survey Competition. Our goal In this competition we were given the data of the annual survey that Kaggle conducts every year and we were asked to explore this data and come up with some conclusions that might be unique and wouldn't be visible if we just glanced through the data. I performed EDA on the data on features like - Age of a person, the country they live in, The Language they use to code, the IDEs they preder, their job titles and much more. After exploration we were able to come up with some conclusions which i have mentioned at the end of my notebook. Few Results and Observations Most Kaggle user's are quite young with their age between 22-29. The Number of Men using Kaggle is huge as compared to the Woman. But we could see a significant growth in number of female Kagglers recently. Most Kaggler's are from India followed by USA and other countries. Most Kagglers have a Master's Degree. Majority of Kagglers are Students followed by Data Scientists and Machine Learning Engineers. Most Kagglers have Experience of 3-5 Years in the Programming and then there are Kagglers with an experience of 1-2 years. Most Kagglers use Python followed by SQL and R. The most Preffered IDEs are Jupyter, VScode and PyCharm. Most Recommended Languages for Data Science Beginners is Python followed by R. The most used data visualization Libraries are Matplotlib and Seaborn. The most used framework for Machine learning and Deep learning is Sci-Kit learn followed by Tensorflow along with Keras. The Most commonly used algorithms are Regression based followed by Decision trees, random forests and so on. Most users share their work on Github followed by Kaggle and Colab. There are also many who dont like to share their work. Most users preferred Coursera to learn Data science and Machine Learning followed by Kaggle Courses and Udemy. Most users make use of Kaggle notebooks and forums to stay updated about latest Data science and ML topics followed by Youtube and Blogs on various websites.

Coursera Machine Learning assignments in python

This repo contains modules and assignment for the applied Machine Learning course on Coursera

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Coursera's ML-Class Programming assignments in Octave, and python.

ML assignments implemented in Python with datasets provided with Coursera Course.

Sentiment Analysis – Analyzing The Factors Affecting Course Ratings in Coursera Using Python-ML

Investment Management Specialization with Python and ML offered by EDHEC Business School in Coursera.

"Concise Machine Learning" implementing methods from Andrew Ng's coursera machine learning course in Python. Ref: https://www.coursera.org/course/ml

Tutorial and explanations on how to do all of Andrew Ng's Coursera ML assignments in Python

Verified certifications in Python, DSA, SQL, JavaScript, AI, ML, and Data Analytics from NPTEL, HackerRank, Infosys Springboard, MongoDB, Deloitte Forage, and Google Coursera.

This repository contains the Jupyter Notebook written using Python which is the Final Assignment for ML with Python Course in IBM Data Science Professional Certificate on Coursera

Solutions to all the ML assignments in the Coursera. The Course assignments are meant to be solved in Octave/MATLAB, but I will be completing them using python

General Purpose Machine Learning Algorithms and Applications in Python developed using numpy, scipy and matplotlib libraries implemented in Jupyter Notebooks

This repository contains programming assignments that one have to do in this phase, these assignments are taken from python version of ml coursera assignments.

Solutions in Python for Andrew Ng's Coursera ML course

All the exercises and assignments are submitted in PYTHON

It contains all algorithms implemented in Python for Andrew NG's Machine Learning Course on Coursera.

Rewrite all the exercise code of Andrew Ng's machine learning class in Python

For coursera python in ML

coursera ml exercise in python

Coursera course by UMich for Applied ML in Python

Applied Machine Learning in Python (University of Michigan)

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Coursera ML Course excersises in python

Coursera ML class assignments in Python.