srikanthlakkoju Goto Github PK

stat451-machine-learning-fs20

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

stat453-deep-learning-ss20

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

stupidlang

support-tickets-classification

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

tensorflow-in-practise-specialization

Four Courses Specialization Tensorflow in practise Specialization

tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

the-hundred-page-machine-learning-book

This repository contains the draft PDF copies of the book: The 100 Page Machine Learning Book

the-hundred-page-machine-learning-book-by-andriy-burkov

Official website of the book: http://themlbook.com/

the-nlp-pandect

A comprehensive reference for all topics related to Natural Language Processing

top-deep-learning

Top 200 deep learning Github repositories sorted by the number of stars.

topdeeplearning

A list of popular github projects related to deep learning

trafficflowprediction

Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).

ucsd_data_science_and_engineering

In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and statistician to create mathematical models of the data, identify trends/deviations, then present them in effective visual ways that can be understood by others. Data scientists unlock new sources of economic value, provide fresh insights into science, and inform decision makers by analyzing large, diverse, complex, longitudinal, and distributed data sets generated from instruments, sensors, internet transactions, email, video, and other digital sources. Students entering the MAS program for a degree in Data Science and Engineering will undertake courses in programming, analysis, and applications management and visualization. This program requires three foundational courses, four core courses, and two electives totaling thirty-four units, plus a capstone team project course of four units, for a total of thirty-eight units.

whirlwindtourofpython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

wpca

Weighted Principal Component Analysis (PCA) in Python

youtubeli

Github repo to upload demo files of youtube videos and linkedin