sachinyar's repositories
deep-learning-notes
My CS231n lecture notes
Data_Science
Data Science and Machine Learning experience
DataAnalysisDiabetesFactor
This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.
Thoughtful-Data-Science
Thoughtful Data Science, published by Packt
IIITB
All Projects for IIITB
python-ml-case-studies
Source code for 'Python Machine Learning Case Studies' by Danish Haroon
Machine-Learning-Projects
XGboost performance Evaluation on an Adult Dataset
Machine_Learning
Source codes and ppts of various machine learning courses
Statistics-for-Data-Science
Statistics for Data Science, published by Packt
PySpark-Cookbook
PySpark Cookbook, published by Packt
pro-machine-learning-algorithms
Source Code for 'Pro Machine Learning Algorithms' by Kishore Ayyadevara
Getting-Started-with-TensorFlow
Getting Started with TensorFlow, published by Packt
Hands-On-Data-Analysis-with-NumPy-and-pandas
published by Packt
PySpark-for-Beginners
PySpark for Beginners by Packt Pyblishing
MachineLearning-StudyModules
Jupyter notebooks containing explanation of Machine Learning Algorithms
PGDDA_IIITB
PGDDA course projects and assignments.
Useful_resources_for_python_and_dataScience
Links and materials for data_science and Python
PysparkRegressions
Pyspark
Titanic
Apache Spark is used to perform the logistic regression
Random-Forest-Regression
Random Forest Regression
simple-Linear-Regression
Simple Linear implementation with python
Data-Analysis-and-Exploration-with-Pandas
Data Analysis and Exploration with Pandas, published by Packt
nlp-tutorial
Tutorial: Natural Language Processing in Python
Tiny-Python-3.6-Notebook
This repository contains the text for the Tiny Python 3.6 Notebook.
Flight_delay_prediction_web_app
A big data web application to predict USA airline traffic delay with Python, Flask, Apache Spark, Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, MLlib and Apache Airflow.
PySpark-and-MLlib
Getting start with PySpark and MLlib