dhruv-agg's Stars
openai/openai-cookbook
Examples and guides for using the OpenAI API
guipsamora/pandas_exercises
Practice your pandas skills!
tirthajyoti/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
tirthajyoti/Data-science-best-resources
Carefully curated resource links for data science in one place
tirthajyoti/Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
tirthajyoti/Deep-learning-with-Python
Deep learning codes and projects using Python
tirthajyoti/Spark-with-Python
Fundamentals of Spark with Python (using PySpark), code examples
tirthajyoti/Web-Database-Analytics
Web scrapping and related analytics using Python tools
justmarkham/DAT7
General Assembly's Data Science course in Washington, DC
tirthajyoti/Optimization-Python
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
hyunjoonbok/PySpark
PySpark functions and utilities with examples. Assists ETL process of data modeling
tirthajyoti/Finance-with-Python
Financial data analytics with Python
tirthajyoti/Digital-Twin
Digital twin with Python
Machine-Learning-01/sensor-fault-detection
Machine-Learning-01/finance-complaint
aakinlalu/Crime-Classification-using-PySpark
classify crime into different categories using PySpark
Deep-Learning-01/Deep-Authenticator
ketangangal/circleci-pipeline-template
This repository contains CICD actions CircleCi
ketangangal/search-engine-data-collection
# This Repository Is for data collection for Embedding Based Search Engine
ketangangal/search-engine-prediction-endpoint
ketangangal/search-engine-training-endpoint
This Repository is responsible for model training
Deep-Learning-01/Deep-Authenticator-Frontend
aakinlalu/textlabelling
Textlabelling is a tool built on spacy to label text for NER and train with deep learning
tirthajyoti/mldsutils
My own ml and ds utils package
tirthajyoti/pandoc_resume
The Markdown Resume
aakinlalu/Retention-Rate-using-Machine-Learning
Retention Rate & Factors selection of Cloud based Subscribers using Machine Learning
aakinlalu/TimeSeries-Anomaly-App
Simple machine learning framework for Timeseries application to identify anomaly in dataset using Machine learning and Deep neural network
aakinlalu/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
aakinlalu/djangobook.com
aakinlalu/PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook