jinay jain

SKILLS:
I am familiar with machine learning models. I'm well-versed in regression models, encompassing both linear regression for continuous outcomes and logistic regression for categorical outcomes. Moreover, I am proficient in deploying decision trees to make informed choices based on data patterns. My knowledge extends to ensemble methods such as boosting, which amplifies model performance, and random forest, a versatile algorithm for robust predictions. support vector model (SVM)
In unsupervised learning i am familiar with clustering

I also have knowledge in data science ,using pandas to perform EDA on the data , clean data , replace missing values etc

My background in web development includes intermediate knowledge in HTML, CSS, and React.

Additionally, I also have intermediate knowledge in backend technologies such as Node.js and MongoDB.

PROJECTS
1:calorie burned predictor(ML)
2:ML Models(regression, decision tree, random forest, Adaboost, SVM etc)
3: GameHub( PC game website built using react.js)
4:Recipe App(MERN Stack)
5: Store API, JOBS API (Node.js and MongoDB)
6:Jobster(website for tracking job applications)