Sanjusha Suresh's Projects
Write a java program for the following matrix operations. a) Addition of two matrices b)Transpose of a matrix
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.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using association rules.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using association rules.
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.
Tests based on Chi-Square distribution using R.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using clustering.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using clustering.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using decision trees.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using decision trees.
Fitting of straight line, Parabola, Power curve and Exponential curve by least squares method using R
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using forecasting.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using forecasting.
Generation of random samples using R
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using hypothesis testing.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using hypothesis testing.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using hypothesis testing.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using hypothesis testing.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.
Large sample tests for Means and proportions based on single and two samples using R
Write a java program to find the largest of any natural numbers.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using logistic regression.
Write a menu driven program for the following: a. Display a Fibonacci Series b. Compute Factorial of a number
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using multi linear regression.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using multi linear regression.
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.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using naive bayes.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using neural networks.
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using neural networks.