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Name: Sanagala Rishi Preetham

Type: User

Bio: Btech Electrical and Electronics Engineering student with a good core Knowledge and Programming skills and good Understanding of Data Science.

Sanagala Rishi Preetham's Projects

ai_element_discovery_reasearch

Discovering Elements by training a neural network on periodic properties.

analysis-upon-corona-virus-data

This Project is Analysis of Data Of Corona Virus of Serval Countries with respect to their World Happiness Report.

cancer-prediction-using-support-vector-machines

In this project I worked upon inbuilt Cancer data set of scikit learn. Model is built upon svm algorithm using python going to predict whether the tumor is malignant or benign

code-overflow

Awesome Coding Problems

desicion-trees-and-random-forests-using-python

Here I used a Kyphosis dataSet and used random forest algorithm to classify the Data. By using Decision trees i can able to achieve only 68% accuracy since data set is small, we can improve it's Accuracy by implementing Algorithm using RandomForestClassifiers.

knearestneighbours-model-upon-a-artificial-data

Created a Classification model upon a Artificial data which classifies the data using Knn Algorithm.

knearestneighbours-using-python

A Classification model is Developed using Knn Algorithm which Classifies data with 95% Accuracy.

linear-regression-model

Linear Regression Model Which predicts pricing of the houses according to its location , no of rooms, age of house etc.

linear-regression-project

This project provides a solution to a Enterprise company by training a Linear Regression model and based on the model we decides in which field they need to concentrate to develope their business

loan-succes-factor-prediction-using-randomforests-

This project is based on data of customers who took loan which is available in lendingclub.com. From this data going to built a model using Random Forests Classifier algorithm which helps investors to predict whether to lend their money to Borrowers or not. In this project I had gone through Some exploratory data Analysis using numpy and pandas which includes Data Cleaning,Feature Engineering and Visualization using Seaborn and Matplotli b libraries. Using Scikit learn Undergone to Algorithms like Decision Trees and Random Forests to classify data.

logistic-regression-model-using-scikitlearn

This model is implemented upon the titanic Data Set taken from Kaggle. This data was Analyzed and performed data cleaning upon it to extract efficient data to train the model. This Model predicts whether Passenger is Survived or Not After the crash according to this details.

logistic-regression-project

This project is based on data of the advertisement department. I created a Logistic regression model from this data which classifies whether this person will view this add or not such that they can take decision accordingly to do Marketing upon customers.

lyric-generator-using-lstms

A Lyric generator modeled using recurrent neural networks based architecture called LSTMs.

support-vector-machines-project

This project is based on Famous Iris flower DataSet. I classifies the flowers according to their parameters into their type.

twitter-sentiment-analysis-using-naive-bayes-classifier

This model will predict the sentiment of twitter tweets whether they are positive or Negative.

who_life_expectancy_prediction-model

This model built upon WHO data of various countries which predicts the Life expectancies of people in a country according to given parameters. This model was built using a Linear regression model which was built in many Approaches and given an error of only 4.5%.

rishipreetham18 Goto Github PK

Sanagala Rishi Preetham's Projects

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