Pinned Repositories
A-visual-analysis-of-suicide-rates-across-the-World
In this work, we attempt to explore the possible con- nections between suicide rates and other common pa- rameters for various countries worldwide. we also attempt to predict commonalities between countries based on numerous factors from the considered dataset with the aid of an unsupervised learning technique called Fuzzy C - Means clustering.
Comparative-Analysis-of-Two-Neural-Network-Architectures-on-Dataset-for-stroke-prediction
This work analyses the intricacies of two neural network architectures over the stroke occurrences dataset. A Feedforward Multi-Layer Perceptron (MLP) and Support Vector Machines (SVM) are the two algorithms being reviewed.
INM707
Labs and material for INM707
INM707_Sid_CW
In this project we completed the implementation of Q-Learning algorithm of Reinforecement Learning on OpenAI's Clifwalking Environment with SARSA as an improvement to it. We also performed amalgamation of Deep Learning Neural Network technique and Q-Learning, Simulation of stock market as our environment with DQN an Duelling-DQN as improvements.
Prospects-of-the-growth-of-small-and-medium-sized-enterprises-using-ESG-metrics-sentiment-analysis..
Evaluating the possibility of ESG ratings given by standard rating agencies to be considered as a serious metric to gauge the growth scope of a firm. Also, we will discuss the prospects of a conventional time series prediction model like ARIMA and the implementation of sentiment analysis on news articles about the firms.
pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
sklearn_tutorial
Materials for my scikit-learn tutorial
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
sidmadan40's Repositories
sidmadan40/INM707_Sid_CW
In this project we completed the implementation of Q-Learning algorithm of Reinforecement Learning on OpenAI's Clifwalking Environment with SARSA as an improvement to it. We also performed amalgamation of Deep Learning Neural Network technique and Q-Learning, Simulation of stock market as our environment with DQN an Duelling-DQN as improvements.
sidmadan40/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
sidmadan40/A-visual-analysis-of-suicide-rates-across-the-World
In this work, we attempt to explore the possible con- nections between suicide rates and other common pa- rameters for various countries worldwide. we also attempt to predict commonalities between countries based on numerous factors from the considered dataset with the aid of an unsupervised learning technique called Fuzzy C - Means clustering.
sidmadan40/Comparative-Analysis-of-Two-Neural-Network-Architectures-on-Dataset-for-stroke-prediction
This work analyses the intricacies of two neural network architectures over the stroke occurrences dataset. A Feedforward Multi-Layer Perceptron (MLP) and Support Vector Machines (SVM) are the two algorithms being reviewed.
sidmadan40/INM707
Labs and material for INM707
sidmadan40/Prospects-of-the-growth-of-small-and-medium-sized-enterprises-using-ESG-metrics-sentiment-analysis..
Evaluating the possibility of ESG ratings given by standard rating agencies to be considered as a serious metric to gauge the growth scope of a firm. Also, we will discuss the prospects of a conventional time series prediction model like ARIMA and the implementation of sentiment analysis on news articles about the firms.
sidmadan40/sklearn_tutorial
Materials for my scikit-learn tutorial
sidmadan40/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).