ghost-cmd Goto Github PK

-introduction-to-tensorflow-for-artificial-intelligence-machine-learning-and-deep-learning

3.10_coursera_google-data-analytics-professional-certificate

This workshop and the materials in this repo are for anyone who is interested in working with Data Analyst to produce high quality, working style! Refer to Google Data Analytics Professional Certificate on Coursear https://www.coursera.org/professional-certificates/google-data-analytics

applied-ml

📚 Papers by organizations sharing their work on applied data science & machine learning.

aureliengeron

“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.

cifar10

Task was to use PCA to reduce dimension and finding optimal PCA components and used different algorithm to get best score.

coding-interview-university

A complete computer science study plan to become a software engineer.

coding-ninjas---data-structures-and-algorithms-in-python

Solved problems and assignments of DSA course taught by Coding Ninjas team

coursera-convolutional-neural-networks

Coursera CNN in Tensorflow

event

Event Management addons

ghost

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

introduction-to-tensorflow-for-artificial-intelligence-machine-learning-and-deep-learning

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning!

linear-regression-using-gradient-descent

Writing Code from Scratch of linear regression using generic gradient descent for multiple input features

ml-engineer-roadmap

WIP: Roadmap to becoming a machine learning engineer in 2020

natural-language-processing-in-tensorflow-course

My Solutions To Natural Language Processing Course in Tensorflow on Coursera(by Laurence Moroney)

nlp_machine-translation_with_seq2seq-attention_model

This is a machine translation (english->french) dataset downloaded from http://www.manythings.org/anki/. This a NLP problem with Deep Learning (Recurrent Neural Network (RNN) with LSTM is used). For this NLP (machine translation) problem, Sequence to sequence (seq2seq) model with attention mechanism is used

soliditypythontutorial

Learn how to write a basic smart contract in Solidity and then integrate it with Python app by using Web3.py

state_managment

tensorflow-in-practice-coursera

Hands on practice courses about machine learning framework TensorFlow provided by Coursera. In this project, Tensorflow is implemented on MLP, CNN, NLP and Sequence Time Series & Prediction.

text-classification

Task was to make data frame without using inbuilt functions out of given folder with multiple text documents and write code from scratch of Naive Bayes to predict output.

twitter-sentiment-anaylsis

Used NLP(Natural Language Processing) determine weather given US Airline Sentiment Dataset, which contains data for over 14000 tweets is positive, negative or neutral.