Sanjusha Suresh's repositories
FORECASTING-ASSIGNMENT-18-Q1
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using forecasting.
ADDITION-AND-TRANSPOSE-OF-MATRIX
Write a java program for the following matrix operations. a) Addition of two matrices b)Transpose of a matrix
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-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
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.
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
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using decision trees.
FORECASTING-ASSIGNMENT-18-Q2
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using forecasting.
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
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.
LARGEST-OF-NATURAL-NUMBERS
Write a java program to find the largest of any natural numbers.
MENU-DRIVEN-PROGRAM
Write a menu driven program for the following: a. Display a Fibonacci Series b. Compute Factorial of a number
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
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
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
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using neural networks.
NUMBER-ODD-OR-NOT
Write a program to check whether a given number is odd or even.
NUMBER-PRIME-OR-NOT
Write a program to find whether a given number is prime or not.
PRINT-THE-ARMSTRONG-NUMBER
Write a program to input N numbers in an array and print out the Armstrong numbers from the set.
RANDOM-FORESTS-ASSIGNMENT-15-Q1
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using random forests.
RANDOM-FORESTS-ASSIGNMENT-15-Q2
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using random forests.
RECOMMENDATION-SYSTEM-ASSIGNMENT-10
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using recommendation system.
STOCK-MARKET-ANALYSIS-PROJECT
Aim: To predict the Reliance Industries Stock price for the next 30 days. Using the matplotlib and statsmodel the moving average, time series decomposition, ACF and PACF plots were plotted. Building the model using MAPE, Simple Exponential method, Holt method and Holt Winters method, and using Flask for deployment we get the forecasts.
STORE-SALES-PREDICTION-PROJECT
Aim: To predict the sales of different branches of a supermarket store for the next year. By using regression analysis, moving average method, correlation, and time series analysis, on past three years data the prediction was calculated successfully. With the result that the sales will increase.
STRING-PALINDROME-OR-NOT
Write a program to check whether a given string is palindrome or not.
SUM-PRODUCT-AND-REVERSE-OF-A-NUMBER
Write a program to print the sum, product of digits of an integer and reverse the integer.
SUPPORT-VECTOR-MACHINES-ASSIGNMENT-17-Q1
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using support vector machines.
SUPPORT-VECTOR-MACHINES-ASSIGNMENT-17-Q2
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using support vector machines.
TEXT-MINING-ASSIGNMENT-11-Q1
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using text mining.
TEXT-MINING-ASSIGNMENT-11-Q2
This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using text mining.