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Machine Learning Algorithms | Sample Assignment.
Instruction: 1. Use Scikit‐Learn to complete the assignment. Question 1: Class imbalance, ensembles, and feature selection For this...
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2 min read
Implementing Machine Learning Model Using Apache Kafka and Apache Spark
StopHacking is a start-up incubated in Monash University to develop cloud service to detect and stop computer hackers. Although they have...
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5 min read
Blackjack Using Q-Learning
Abstract Blackjack is a popular card game played in many casinos. The objective of the game is to win money by obtaining a point total...
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6 min read
Covid-19 Data Analysis in INDIA
COVID-19, a novel coronavirus, is currently a major worldwide threat. It has infected more than five million people globally leading to...
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2 min read
Mega Menu Using Django And Bootstrap
In this we will add mega menu in nav bar of home page of our web application using Django and bootstrap. Below the working steps which...
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4 min read
Analyzing, Parsing, Pre-Processing, extracting Semistructured Textual Data
Task 1: Parsing Text Files This assessment touches the very first step of analyzing textual data, i.e., extracting data from...
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5 min read
DNA Outbreak Investigation Using Machine Learning
You are given a data set consisting of DNA sequences (the file is available here) of the same length. Each DNA sequence is a string of...
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1 min read
Important Topics of Machine Learning
Answer the below topics 1: Understand the measures that are used to evaluate the results of classification, describe what these are:...
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5 min read
Breast Cancer Analysis Using Machine Learning
Breast Cancer Analysis and Prediction is one of the most popular problems in Machine Learning. It is one of the finest for ML...
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6 min read
Linear Regression: Boston Housing data set
We will work with Boston housing data set which consists information about houses in Boston. It is provided in scikit-learn library....
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3 min read
Unsupervised Machine Learning: Classification of Iris data set
The Iris data set is the 'Hello world' in the field of data science. This data sets consists of 3 different types of irises’ (Setosa,...
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3 min read
Visualization Techniques Used in Machine Learning
Data visualization is the discipline of trying to understand data by placing it in a visual context so that patterns, trends, and...
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3 min read
Latent Dirichlet Allocation(LDA)
What is topic modeling? Topic modeling is a method for unsupervised classification of documents, similar to clustering on numeric data,...
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3 min read
Transfer Learning & Computer Vision Assignment Help.
Computer vision is a sub-field of Artificial Intelligence that helps machines to understand visual representation by analyzing digital...
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3 min read
MiniProject: Mining Accident Analysis In Machine Learning
Project Objective Employers are required to report any serious work-related injuries and death to the authority. This information helps...
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1 min read
Titanic Exploratory Data Analysis
Would You Survive The Titanic? The Titanic Ship incident is very much well known to everyone. Here in this blog, we are going to discuss...
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3 min read
Support Vector Machines for Machine Learning (SVM) & Maths Behind SVM
Support Vector Machines are perhaps one of the most popular and talked about machine learning algorithms. They were extremely popular...
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5 min read
Predict Boston House Prices Using Python & Linear Regression
In machine learning, the ability of a model to predict continuous or real values based on a training dataset is called Regression. With...
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4 min read
Machine learning-Iris classification
Create the model that can classify the different species of the Iris flower.
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2 min read
Data Visualization In Machine Learning | Machine Learning Project Help
Data visualization is the representation of data or information in a graph, chart, or other visual formats. It communicates the...
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3 min read
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