partoftheorigin/100DaysOfMLCode

Stars
4
Rank 3,304,323 (Top 66 %)
Language
Created over 6 years ago
Updated over 6 years ago

partoftheorigin/100DaysOfMLCode

partoftheorigin

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

#100DaysOfMLCode

applied_data_science_with_python

This repository contains my work while completing the specialization created by University of Michigan on Coursera. 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 basic a 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. All 5 are required to earn a certificate.

Jupyter Notebook

predict-blog-author-features

Predicts gender, age, label, and zodiac sign of the writer from the given text.

mahabharatha_chatbot_rnn_seq2seq

ChatBot Trained using Seq2Seq Model on Mahabharatha Subtitles

entity-extraction

Jupyter Notebook

singular_value_decomposition

Implementation of SVD without using package.

multilabel-classification-stack-overflow

Predict tags for posts from StackOverflow with multilabel classification approach.

Jupyter Notebook

python_for_everybody

This repository contains my work while completing the specialization created by University of Michigan on Coursera. This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.

neural-network-from-scratch

Implementation of a Neural Network using NumPy

unix_hours

Basic shell script programs.

deep_learning_ai_specialization

Master Deep Learning, and Break into AI

Jupyter Notebook

sentiment-analysis-twitter

Categorises tweets according to their polarity level.

weather-api-flask

An app, to give weather forecast for different cities

curioso_website

Repository for solocurioso's website.

text-generation-datasets

Datasets that can be used for text generation.