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100daysofmlcode

astra-practice-case-classification

Naive Bayes Classifier in Python

astra-practice-case-credit-scoring

This dataset contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan from April 2005 to September 2005. The dataset consists of 30000 observations and 18 features (with variable RISK as dependent variable). The aims of this project is to predict whether a client has a bad risk or good risk. Note: Beware of the distribution,the composision (whether the data is balanced or imbalanced), or the type of each variables.

astra-time-series-analysis

astra-time-series-analysis-sales-forecasting

automobile

Data Set Automobile

azurelab

Cloudera Deployment on Azure using Marketplace

data-analyst-track-dataquest.io-projects

A complete compilation of my Data Analyst projects and certificates through Dataquest.io.

data-science--cheat-sheet

Cheat Sheets

data-science-skill

Collection of Courses and Books needed for Data Science learning.

fundamental-of-python-for-machine-learning

Fundamental of Python for Machine Learning

google-analytics-and-customer-insights

ETA APRIL 2019 -- Kaggle API shutdown until mid-Feb, so waiting---- GA Customer Insights and Forecasting analysis. Comprised of SQL, Python, and API collection.

groupproject--imdb

machine-learning-resources

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

machine-learning-test

Example Machine Learning

model-deployment

nlp-in-practice

NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow_object_counting_api

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

timeseriesanalysiswithpython