idb-for-datascience Goto Github PK
Name: Indraneel D Baruah
Type: User
Bio: Striving for excellence in solving business problems with AI
Twitter: idb_predpower
Location: Mumbai
Indraneel D Baruah's Projects
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
data-scientist-for-enterprise-nanodegree-program
This repository has the solutions to multiple assignments done during the course on topics like supervised leering, deep learning
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
deep_learning
Code base for trying various DL models
gym
A toolkit for developing and comparing reinforcement learning algorithms.
machine-learning
Content for Udacity's Machine Learning curriculum
ml-based-feature-selection
This notebook is a one stop shop for ML based feature selection for classification purpose. Once the master data is prepared, we can use this notebook to try out 8 feature selection techniques and combine their results
model-monitoring
Let's talk Precision, Recall, F1 score, Reject Rate, PSI, CSI, KS and Gini along with their python implementation
predicting-fit-of-a-candidate-for-a-job-using-tree-based-models
We use multiple Tree boosting models and compare their performance to calculate the fit percentage of a candidate for the job they apply for. Also try to handle categorical methods using various methods.
predictive-excellence-engine
In this notebook, we will create an AI and time serie driven forecasting engine based on a set of 5 AI models and 5 time series models and employ several algorithms to perform feature engineering and selection on a multivariate time series dataset.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
rl-cheatsheet
RL Notation and Pseudocode for Udacity's MLND program
unsupervised-ml-modelling-for-segmentation
Python Implementation of multiple unsupervised segmentation models and evaluating them through multiple evaluation metrics
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