Atharva Bhogale

Experience

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  LetsGrowMore

  Jul 2022 - Aug 2022

  Data Science Intern

  Designed 3 projects during the tenure of the internship using Data Analysis and python coded programsincluding various libraries coming under scikitlearn like SVM(Support Vector Machine),LSTM(Long short term memory),Seaborn,Keras and kmeans regression for training the dataset Project 1: IRIS Flower Classification Visualisation of the dataset using pairplots, heatmap ,corr() Spliting the given dataset into test,train and validation Training the Model using sklearn's Support vector machine algorithm Finding the R^2 score, precision, recall ,f1 scores, confusion matrix on the testing data we can accertain the perfectness of the model Project 2:Stock market Prediction Using LSTM(Long short term memory) to check the columns to be omitted Then using sigmoid and tanh function for training using reshaping of data, train -test-split method, pyplot representation we finally represent the graph of actual stock price and the predictedProject 3:Spotify Music reccomendation system Considering 200 entries of random song tags from spotify and analysing it using Seaborn visualisation Using K-Means Regression we fit the data and complete the train-test-split procedure Thus the prdeicted tags include the next 10 songs based on the random one input given to the machine based on the training to the model Show less

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  Trendzlink Technology Pvt. Ltd.

  Aug 2023 - Nov 2023

  Machine Learning Intern

  Deployment of machine learning models and training using CNN and machine vision mechanism