Karthikraj96

Auctiion_Class

aws_file_upload

Blog

blog website

blog_react_node

Board-Game-Review-Prediction

Reviews can make or break a product; as a result, many companies take drastic measures to ensure that their product receives good reviews. When it comes to board games, reviews and word-of-mouth are everything. In this project, we will be using a linear regression model to predict the average review a board game will receive based on characteristics such as minimum and maximum number of players, playing time, complexity, etc.

Breast-Cancer-Detection-with-RandomForestClassifier-

We are using the sample data collected from the "archive.ics.uci.edu " Website . using this data we are developing an machine learning model to Predict Some has an breast cancer or not. Given data will be analyzed and make it ready for the machine learning algorithm. we are using the three different algorithms to make an pretty accurate predictions of data. the foolowing are the algorithms used they are RandomForestClassifier , KNeighborsClassifier,Support Vector Machine. we will be comparing the scores of the each and three model and save the best model.

clock

colorchanger

create-react-app-lambda

DirectoryWatcher

Karthikraj96/Auctiion_Class

Karthikraj96/aws_file_upload

Karthikraj96/Blog

blog website

Karthikraj96/blog_react_node

Karthikraj96/Board-Game-Review-Prediction

Reviews can make or break a product; as a result, many companies take drastic measures to ensure that their product receives good reviews. When it comes to board games, reviews and word-of-mouth are everything. In this project, we will be using a linear regression model to predict the average review a board game will receive based on characteristics such as minimum and maximum number of players, playing time, complexity, etc.

Karthikraj96/Breast-Cancer-Detection-with-RandomForestClassifier-

We are using the sample data collected from the "archive.ics.uci.edu " Website . using this data we are developing an machine learning model to Predict Some has an breast cancer or not. Given data will be analyzed and make it ready for the machine learning algorithm. we are using the three different algorithms to make an pretty accurate predictions of data. the foolowing are the algorithms used they are RandomForestClassifier , KNeighborsClassifier,Support Vector Machine. we will be comparing the scores of the each and three model and save the best model.

Karthikraj96/clock

Karthikraj96/colorchanger

Karthikraj96/create-react-app-lambda

Karthikraj96/DirectoryWatcher

Karthikraj96/editor

Karthikraj96/Heart-Disease-Detection-End-to-end

This notebook will introduce some foundation machine learning and data science concepts by exploring the problem of heart disease classification.

Karthikraj96/html

Karthikraj96/htmlcss

Karthikraj96/imagegallery

Karthikraj96/intro-to-matplotlib

Karthikraj96/intro-to-Numpy

Numpy learning

Karthikraj96/intro-to-pandas1

Karthikraj96/javascript-samples

Karthikraj96/landing_page

landing page sample

Karthikraj96/loginform

index.html

Karthikraj96/margin

Karthikraj96/margin-frontend

margin-frontend

Karthikraj96/portfolio_bs4

http://karthikraj96.github.io/portfolio_bs4/index.html

Karthikraj96/React

Karthikraj96/React_face

Karthikraj96/scikit

scikit learn

Karthikraj96/SnakeGame

Karthikraj96/todolist

Karthikraj96/zoom-clone