Pinned Repositories
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Ades-NLP-Recepies
Repo of NLP processing ML/AI focussed models, solutions and practical use cases
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
breeze
Breeze is a numerical processing library for Scala.
Cookbook
The Data Engineering Cookbook
coursera---Statistical-Inference
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Customer-Survival-Analysis-and-Churn-Prediction
In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.
Data-science
Collection of useful data science topics along with code and articles
darshanaaoak's Repositories
darshanaaoak/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
darshanaaoak/Ades-NLP-Recepies
Repo of NLP processing ML/AI focussed models, solutions and practical use cases
darshanaaoak/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
darshanaaoak/breeze
Breeze is a numerical processing library for Scala.
darshanaaoak/Cookbook
The Data Engineering Cookbook
darshanaaoak/coursera---Statistical-Inference
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
darshanaaoak/Customer-Survival-Analysis-and-Churn-Prediction
In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.
darshanaaoak/Data-science
Collection of useful data science topics along with code and articles
darshanaaoak/Data-science-best-resources
Carefully curated resource links for data science in one place
darshanaaoak/data-science-blogs
A curated list of data science blogs
darshanaaoak/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
darshanaaoak/data-science-popular-algorithms
Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
darshanaaoak/Data-Science-Portfolio
Portfolio including my data science projects for academic, self-learning, and hobby.
darshanaaoak/Data-Science-Study
This repository contains jupyter notebook and other resources made by me during learning Data Science
darshanaaoak/data-scientist-roadmap
Toturial coming with "data science roadmap" graphe.
darshanaaoak/Data-Visualization-with-Python
Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is visualized in the form of a chart, infographic, diagram or map.
darshanaaoak/DataCamp
DataCamp data-science courses
darshanaaoak/DataScienceResources
Open Source Data Science Resources.
darshanaaoak/Dr-jon-krohn--ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
darshanaaoak/Essential-Math-for-Machine-Learning-Python-Edition
Microsoft: DAT256x (EdX course)
darshanaaoak/go
The Open Source Data Science Masters
darshanaaoak/ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
darshanaaoak/pandas-tutorial
This is the cheat sheet Jupyter Notebook I made for my Pandas Learn in One Video Tutorial. I basically condensed the Pandas API down into this one cheat sheet with hundreds of examples. I hope you find it useful.
darshanaaoak/Portfolio
This Portfolio is a compilation of all the Data Science and Data Analysis projects I have done for academic, self-learning and hobby purposes. This portfolio is updated on the regular basis.
darshanaaoak/scikit-learn-tips
:robot::zap: scikit-learn tips
darshanaaoak/spark-notebook
Interactive and Reactive Data Science using Scala and Spark.
darshanaaoak/springer_books
darshanaaoak/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
darshanaaoak/transaction-fraud-detection
A data science project to predict whether a transaction is a fraud or not.
darshanaaoak/Treasure-of-Transformers
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️