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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

aws-machine-learning-university-accelerated-nlp

aws-machine-learning-university-accelerated-tab

aws-saa-c02

cookbook

The Data Engineering Cookbook

coursera-data-mining-uiuc

Learning material for data mining specialization

coursera-datamining

coursera Specialization in Data Mining

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

coursera-python-basics

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

coursera-python-for-everybody-specialization

Current repository contains all assignments, notes, quizzes and course materials from the "Python for Everybody Specialization" provided by Coursera and University of Michigan.

courses-

Quiz & Assignment of Coursera

data-mining

Data Mining Specialization from Coursera

data-science

This Repository contains all the relevant projects Completed on Simplilearn Platform

data-science-best-resources

data-scientist

All Assignment for Master Program Certificate in Data Scientist from simplilearn

data-scientist-roadmap

data-warehousing-for-business-intelligence

Data Warehousing for Business Intelligence - Assignments done during the data warehousing course on coursera.

data-warehousing-for-business-intelligence-1

# Data Warehousing for Business Intelligence Assignments done during the data warehousing course on coursera.

datascienceresources

deep-learning-coursera

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

deeplearning.ai

This is my assignment on Andrew Ng's special course "Deep Learning Specialization" This course consists of five courses: Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Structuring Machine Learning Projects Convolutional Neural Networks Sequence Models

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.