Code Monkey home page Code Monkey logo

WhatsApp Image 2022-11-28 at 11 34 00

  • šŸ‘‹ Hi, Iā€™m @sanjushasuresh
  • šŸ‘€ Iā€™m passionate and curious about Data Science, Machine learning and Artificial intelligence
  • šŸŒ± My skills include Python, R, Java, SQL, Spark, Hadoop and Tableau
  • šŸ’ž I'm looking to collaborate on all the above topics
  • šŸ“« How to reach me : [email protected]

Java Python R Matplotlib NumPy Pandas scikit-learn SciPy Microsoft Excel Microsoft PowerPoint Microsoft Word

GitHub Streak

Connect with me:

Sanjusha Suresh's Projects

array-of-intergers icon array-of-intergers

Write a program to create an array of 10 integers. Accept values from the user in that array. Input another number from the user and find out how many numbers are equal to the number passed, how many are greater and how many are less than the number passed.

association-rules-assignment-9-q1 icon association-rules-assignment-9-q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using association rules.

association-rules-assignment-9-q2 icon association-rules-assignment-9-q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using association rules.

average-of-integers icon average-of-integers

Write a program that will prompt the user for a list of 5 prices. Compute the average of the prices and find out all the prices that are higher than the calculated average.

clustering-assignment-7-q1 icon clustering-assignment-7-q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using clustering.

clustering-assignment-7-q2 icon clustering-assignment-7-q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using clustering.

decision-trees-assignment-14-q1 icon decision-trees-assignment-14-q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using decision trees.

decision-trees-assignment-14-q2 icon decision-trees-assignment-14-q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using decision trees.

forecasting-assignment-18-q1 icon forecasting-assignment-18-q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using forecasting.

forecasting-assignment-18-q2 icon forecasting-assignment-18-q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using forecasting.

hypothesis-testing-assignment-3-q1 icon hypothesis-testing-assignment-3-q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using hypothesis testing.

hypothesis-testing-assignment-3-q2 icon hypothesis-testing-assignment-3-q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using hypothesis testing.

hypothesis-testing-assignment-3-q3 icon hypothesis-testing-assignment-3-q3

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using hypothesis testing.

hypothesis-testing-assignment-3-q4 icon hypothesis-testing-assignment-3-q4

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using hypothesis testing.

knn-assignment-13-q1 icon knn-assignment-13-q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.

knn-assignment-13-q2 icon knn-assignment-13-q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.

large-sample-tests icon large-sample-tests

Large sample tests for Means and proportions based on single and two samples using R

logistic-regression-assignment-6 icon logistic-regression-assignment-6

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using logistic regression.

menu-driven-program icon menu-driven-program

Write a menu driven program for the following: a. Display a Fibonacci Series b. Compute Factorial of a number

multi-linear-regression-assignment-5-q1 icon multi-linear-regression-assignment-5-q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using multi linear regression.

multi-linear-regression-assignment-5-q2 icon multi-linear-regression-assignment-5-q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using multi linear regression.

music-recommendation-system-project icon music-recommendation-system-project

Aim: To build a feature of recommendation system to support a music app. The model building was done using K-means clustering, then the cosine similarity was calculated. Saving the model using pickle and running the model deployment using streamlit, we get the recommended songs for the particular song chosen.

naive-bayes-assignment-12 icon naive-bayes-assignment-12

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using naive bayes.

neural-networks-assignment-16-q1 icon neural-networks-assignment-16-q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using neural networks.

neural-networks-assignment-16-q2 icon neural-networks-assignment-16-q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using neural networks.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    šŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. šŸ“ŠšŸ“ˆšŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ā¤ļø Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.