yuyingtan Goto Github PK

breast-cancer-detection-homework

build-your-deep-network-step-by-step

Coursera Neural Network and Deep Learning

coursera_capstone

homework for ibm data science

data-science-case-studies

case study notebooks

deep-neural-network-application-image-classification

Course course: Neural network and deep learning

exploring_neighborhoods_in_the_city_of_toronto

IBM Data science assignment

gauge-an-audience-interest-in-different-data-science-topics

IBM data science professional certificate homework

getsubreddit

This python code can collect the latest hot posts/comments/meta data from assigned subreddit communities

how-to-write-research-proposal

a collection of research proposal samples and comments

how-to-write-research-statement

Writing research statement is important for applying for PhD, research positions or getting funding. Here are documents from universities on how to write a good research statement and examples. The documents are not originally written by me, I searched and downloaded these online, and collect them in the same place for easy check.

ibm--python-house-price-predict-case-study

ibm-basics-python-data-science

knowledge-based-ai

Case studies of knowledge representation and reasoning

learningr

Learn R from 0. Tutorials in R Markdown. Course material provided by FLAMES statistic summer school https://www.flames-summerschool.com/

logistic-regression-as-a-neutral-network

Coursera - deep learning and neutral network course

master-theis-code

Code using machine learning models to predict autism children's social behavior movement

ml-classifier-algorithm

Now that you have been equipped with the skills to use different Machine Learning algorithms, over the course of five weeks, you will have the opportunity to practice and apply it on a dataset. In this project, you will complete a notebook where you will build a classifier to predict whether a loan case will be paid off or not. You load a historical dataset from previous loan applications, clean the data, and apply different classification algorithm on the data. You are expected to use the following algorithms to build your models: k-Nearest Neighbour Decision Tree Support Vector Machine Logistic Regression The results is reported as the accuracy of each classifier, using the following metrics when these are applicable: Jaccard index F1-score LogLoass

natural-language-processing-with-deep-learning

Collection of study notes of Natural Language Processing with Deep Learning

network-analysis

Everything about Network Analysis

nlp_bilstmcrf-

study notebook of some algorithms

nlp_parsing

Codecademy NLP parsing coding practice

order_coffee_chatbot

This is a chatbot to help you order coffee, built in python. Practical test after learning in Codecademy https://www.codecademy.com/learn-Build chatbots with python course

planar-data-classification-with-a-hidden-layer

Coursera deep learning course - one hidden layer neural network

robotic-papers

AI, Robotics papers

sentiment-analysis-for-social-media-using-vader

Python code apply Valence Aware Dictionary and sEntiment Reasoner (VADER) sentiment analysis (Clayton J & Gilbert, 2014) on social media texts

the-battle-of-neighborhoods

IBM data science assignment