Masters/Postgraduate Machine Learning resources
Masters/Postgraduate Machine Learning resources
This hand-written well-organized document teaches the K-Nearest Neighbour (KNN) Algorithm with Example.
This hand-written well-organized document explains clustering and K-Means algorithms with multiple examples of 1-D data (set of values) and 2-D data (table of values).
This hand-written document implements the XOR gate using Neural Network. It shows all calculations step-by-step.
This hand-written well-organized document teaches the decision tree by example. It takes a small dataset and generates decision tree by calculating entropy, information gain and gain. The algorithm is implmeneted...
This hand-written well-organized document teaches the decision tree by example. It takes a small dataset and generates decision tree by calculating entropy, information gain and gain. The algorithm is implmeneted...
This hand-written document explains Back Propagation in Multi Layer Perceptron using an example neural network.
This video by Dr. Smriti H Bhandari explains solution to Machine Learning Regression Problem. Given problem with actual and predicted output. Compute the error.
This video by Dr. Smriti H Bhandari explains how to compute cost function in regression for given parameter values.
This video by Dr. Smriti H Bhandari explains solution to Machine Learning Regression Problem. Given problem with some questions based on the data, this video provides detailed solution with explanation. Consider the...
Machine learning is a dynamic and evolving field that empowers computers to learn and adapt, making it a transformative technology with widespread use and potential to solve complex problems across various domains. Its...
Kidney Stone Detection Using CNN and Autokeras Millions globally suffer from kidney stones, emphasizing the need for early identification. Convolutional neural networks (CNNs) have shown promise in medical imaging,...
Project Brief: Congestion Detection System for Road and Highways Using Pretrained CNN and Object Detection Overview: The Congestion Detection System is a Python-based solution designed to monitor and detect traffic...
The project involves designing and implementing a deep learning-based brain tumor detection system using MRI images. The goal is to determine whether a person has a brain tumor by analyzing their brain MRI image. This...
In this project, we delve into the realm of sentiment analysis using machine learning techniques on the IMDb dataset. Our primary goal is to predict sentiment polarity—positive or negative—of movie reviews, employing...
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In this project, we embark on a data-driven exploration into the world of insurance cost prediction using advanced machine learning techniques. Our primary objective is to harness the power of three distinct regression...
In this project, we delve into the realm of road safety analytics, aiming to predict the number of casualties in road accidents using advanced machine learning techniques. Our primary objective is to harness the power...
In this project, we delve into the world of sentiment analysis and recommendation prediction by utilizing advanced machine learning techniques. Our primary objective is to predict car recommendations based on customer...
In this project, we embark on a data-driven exploration into the realm of healthcare analytics, aiming to predict health condition labels using advanced machine learning methodologies. Our primary objective is to...
Product Description: Advanced Skin Cancer Detection System Introducing our groundbreaking solution for early skin cancer detection through the power of deep learning and innovative technology. Our system employs...