pranakum

Applied-Data-Science-with-Python-Specialization

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order.

Applied-Machine-Learning-in-Python

University of Michigan on Coursera

Applied-Machine-Learning-in-Python--University-of-Michigan---Coursera

Course materials for the Coursera MOOC: Applied Machine Learning in Python from University of Michigan

Applied-Machine-Learning-in-Python-1

Coursera University of Michigan Course

Applied-Plotting-Charting-and-Data-Representation-in-Python

Applied Data Science with Python Specialization: Course 2 (University of Michigan)

Applied-Plotting-Charting-and-Data-Representation-in-Python--University-of-Michigan---Coursera

Course materials for the Coursera MOOC: Applied Plotting, Charting & Data Representation in Python from University of Michigan, Course 2 of the Applied Data Science with Python Specialization

awesome-datascience

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

aws-machine-learning-university-accelerated-cv

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

pranakum/industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

pranakum/Applied-Data-Science-with-Python-Specialization

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order.

pranakum/Applied-Machine-Learning-in-Python-1

Coursera University of Michigan Course

pranakum/awesome-datascience

pranakum/awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

pranakum/aws-machine-learning-university-accelerated-cv

pranakum/aws-machine-learning-university-accelerated-nlp

pranakum/aws-machine-learning-university-accelerated-tab

pranakum/aws-saa-c02

pranakum/Cookbook

The Data Engineering Cookbook

pranakum/coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

pranakum/Coursera-Python-Basics

My solutions to all quizzes and assignments for Python Basics(Python 3 Programming) on coursera by the University of Michigan

pranakum/Courses-

Quiz & Assignment of Coursera

pranakum/Data-Mining

Data Mining Specialization from Coursera

pranakum/DATA-SCIENCE

This Repository contains all the relevant projects Completed on Simplilearn Platform

pranakum/Data-science-best-resources

pranakum/Data-Scientist

All Assignment for Master Program Certificate in Data Scientist from simplilearn

pranakum/data-scientist-roadmap

pranakum/DataScienceResources

pranakum/DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

pranakum/ds-cheatsheets

pranakum/IBM-PY0101EN-Python-Basics-for-Data-Science

First Experience with Python after completing Python for Everybody at University of Michigan

pranakum/Neural-networks-and-deep-learning

All my assignments from the Deeplearning.AI specialization course

pranakum/Python-Basics

Thsi contains all the programs, resources and assignment corresponding to the course Python Basics Under the Python 3 Specilization offered by University of Michigan

pranakum/Python-for-Everybody-Specialization

I made this repository to post my Programming code with Python and document my progress while Learning Python for Everybody Specialization From the University of Michigan in Coursera

pranakum/Python_Basics_Michigan_University

pranakum/Python_FunctionsFilesDictionaries_FinalCourseProject

Final Project of the course Python Functions, Files, and Dictionaries. This course is part of the Python 3 Programming Specialization offer by University of Michigan in Coursera. You can find more information at https://www.coursera.org/learn/python-functions-files-dictionaries/

pranakum/PythonBasics

Online course offered by Coursera & conducted by University of Michigan

pranakum/Sequences-Time-Series-Prediction-in-Tensorflow

This Repo includes my work in the Sequences and Time Series course of the Tensorflow in Practice Specialization by deeplearning.ai at Coursera

pranakum/University-of-California-San-Diego-Big-Data-Specialization

Repository for the Big Data Specialization from University of California San Diego on Coursera