sidsriv/Introduction-to-Data-Science-in-python

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sidsriv/Introduction-to-Data-Science-in-python

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This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

Introduction-to-Data-Science-in-python

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. The course will also introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the DataFrame as the central data structure for data analysis. The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. By the end of the course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.

Algorithms-for-DNA-sequencing

Codes from Coursera's course Algorithms for DNA sequencing, part of genomic data science specialization offered by Johns Hopkins University

Jupyter Notebook

Simulation-and-modelling-of-natural-processes

This repository contains graded assignments in python-3 language of the course 'Simulation and modelling of natural processes' by University of Geneva offered by Coursera.

Applied-text-mining-in-Python

This repository contains graded assignments in python-3 language of the course 'Applied text mining in Python', part of the specialisation 'Applied data Science using Python' by University of Michigan offered by Coursera.

Jupyter Notebook

Introduction-to-Natural-Language-Processing-UMich-Coursera

This repository contains weekly assignments on implementing NLP algorithms given in the course "Introduction to Natural Language Processing" offered by University of Michigan.

Bioinformatics-1-Finding-Hidden-Messages-in-DNA

This repository contains code graded assignments from the course "Bioinformatics-1 Finding Hidden Messages in DNA" part of Bioinformatics specialization offered by University of California San Diego

Convolutional-Neural-Networks

Course - 3 of Deep Learning specialisation taught by Andrew Ng offered by Coursera

Jupyter Notebook

Neural-networks-for-machine-learning

Programming assignment given in course 'Neural Networks for machine learning' taught by Prof. Geoffrey Hinton, University of Toronto.

Applied-ML-in-Python

This Repository contains Weekly modules and assignments from the course 'Applied Machine Learning in Python', Part of the Applied 'Data Science in Python specialisation' from University of Michigan.

Jupyter Notebook

Introduction-to-deep-learning

This repository contains Ipython notebooks from the course 'Introduction to deep learning', part 1 of Advance machine learning Specialisation offered by higher school of economics at coursera.

Jupyter Notebook

Unix-workbench-assignment

peer graded assignment for the course Unix Workbench by Coursera

Bayesian-methods-for-machine-learning

This repository contains Ipython notebooks from the course 'Bayesian Methods for machine learning', part 3 of Advance machine learning Specialisation offered by higher school of economics at coursera.

Jupyter Notebook

Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

Course - 2 of Deep Learning specialisation taught by Andrew Ng offered by Coursera

Jupyter Notebook

Ml-clustering

Codes from Coursera's course Machine Learning - clustering, part of machine learning specialization offered by University of Washington

Jupyter Notebook

Bioinformatics-6-Finding-mutations-in-DNA-and-Proteins

This repository contains code graded assignments from the course "Bioinformatics-6 Finding mutations in DNA and Proteins" part of Bioinformatics specialization offered by University of California San Diego

Genomic_data_science_capstone

Analysis reports from Genomic data science capstone by Johns Hopkins University offered by Coursera

ML-foundation

Codes from Coursera's course Machine Learning - foundation, part of machine learning specialization offered by University of Washington

Jupyter Notebook

Neural-Networks-and-Deep-Learning

Course - 1 of Deep Learning specialisation taught by Andrew Ng offered by Coursera

Jupyter Notebook

ML-regression

Codes from Coursera's course Machine Learning - regression, part of machine learning specialization offered by University of Washington

Jupyter Notebook

Ml-classification

Codes from Coursera's course Machine Learning - classification, part of machine learning specialization offered by University of Washington

Jupyter Notebook

Bioinformatics-2-Genome-Sequencing

This repository contains code graded assignments from the course "Bioinformatics-2 Genome sequencing" part of Bioinformatics specialization offered by University of California San Diego

Bioinformatics-4-Molecular-Evolution

This repository contains code graded assignments from the course "Bioinformatics-4 Molecular Evolution" part of Bioinformatics specialization offered by University of California San Diego

Bioinformatics-5-Genomic-Data-Science-and-Clustering

This repository contains code snippets from the course 'Bioinformatics-5 Genomic Data Science and Clustering' of Bioinformatics specialization on Coursera

Data-Science-capstone

Data science capstone project on Coursera offered by Johns Hopkins University

Resume

Resume in Latex format

Data-Mining-Capstone-Project

This respository contains data mining capstone project reports along with necessary codes and visualisation.

Udacity-Deep_Learning

Ipython notebook assignments given in 'Introduction to deep learning' an open course offered by Udacity.

Jupyter Notebook

UMich_python_specialization_capstone

Programming for everybody (python) Capstone project offered at Coursera by University of Michigan

Kaggle-Notebooks

This repository contains Ipython notebooks of my attempt on practice problems posted on Kaggle.com

Jupyter Notebook

Using-databases-with-python

Codes from Coursera's course on Using databases with python, part of python specialization offered by University of Michigan

Data-science-at-scale-specialization

Codes and exercises from Coursera's Data science at scale specialization

Jupyter Notebook

Applied-data-science-capstone

Jupyter Notebook

Coursera-test

This repository is playground for Coursera's course on using git

Bioinformatics-3-Comparing-Genes-Proteins-and-Genomes

This repository contains code graded assignments from the course "Bioinformatics-3 Comparing Genes, Proteins and Genomes" part of Bioinformatics specialization offered by University of California San Diego