Pinned Repositories
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Image-Classification
JupyterNotebooks-Medium
Learn-Pandas
Tutorials on how to use pandas effectively to do data analysis
nlp_course
YSDA course in Natural Language Processing
Practice--Projects-Case-study
Machine Learning- Case study
Spend-Analysis
Experimentation
payalbhatia's Repositories
payalbhatia/anlp19
Course repo for Applied Natural Language Processing (Spring 2019)
payalbhatia/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
payalbhatia/AV-HACKATHON
payalbhatia/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
payalbhatia/cits5503
CITS5503 Cloud Computing
payalbhatia/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
payalbhatia/Data-Analysis
Data Science Using Python
payalbhatia/Data-Pipelines-with-Airflow
This project helps me to understand the core concepts of Apache Airflow. I have created custom operators to perform tasks such as staging the data, filling the data warehouse, and running checks on the data quality as the final step. Automate the ETL pipeline and creation of data warehouse using Apache Airflow. Skills include: Using Airflow to automate ETL pipelines using Airflow, Python, Amazon Redshift. Writing custom operators to perform tasks such as staging data, filling the data warehouse, and validation through data quality checks. Transforming data from various sources into a star schema optimized for the analytics team’s use cases. Technologies used: Apache Airflow, S3, Amazon Redshift, Python.
payalbhatia/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
payalbhatia/flask-openshift-example
Simple Flask example using Docker to deploy on OpenShift 3.
payalbhatia/Fraud-Detection
payalbhatia/GANs
Study Generative Adversarial Networks
payalbhatia/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
payalbhatia/invoice2data
Extract structured data from PDF invoices
payalbhatia/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
payalbhatia/keract
Activation Maps (Layers Outputs) and Gradients in Keras.
payalbhatia/machine-learning-course
:speech_balloon: Machine Learning Course with Python
payalbhatia/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
payalbhatia/ML-Recipes
A collection of stand-alone Python machine learning recipes
payalbhatia/natural-language-processing-recipes
Source Code for 'Natural Language Processing Recipes' by Akshay Kulkarni and Adarsha Shivananda
payalbhatia/nlp-in-practice
Full working examples in Python with accompanying dataset for Text Mining & NLP. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, word count with pyspark, simple text preprocessing, accessing pre-trained embeddings and more.
payalbhatia/nlp-python-deep-learning
NLP in Python with Deep Learning
payalbhatia/NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
payalbhatia/opencv_satyamallick
Course material from Open CV by Satya Mallick.
payalbhatia/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
payalbhatia/Projects
payalbhatia/pycon_2019-pandas_tutorial
PyCon 2019 Pandas Tutorial
payalbhatia/Python_Tutorials
Python Notes on IPython Notebook files.
payalbhatia/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
payalbhatia/Web-Database-Analytics
Web scrapping and related analytics using Python tools