Machine Learning Masterclass with projects at comfort of your home (online)

Methodology

Duration : 10 Classes - Price : ₹6000.00 - Place : Bengaluru (560070)*Python
*Data Analytics
*Machine Learning
*Deep Learning
*Worked on ML algorithms like Regression , Classification(Binary and Multiple) , Clustering and
Unsupervised Learning.
*Computer vision , Image classification , Sentiment Analysis , Neural Networks.
Performing Feature Selection , Feature Engineering on datasets.
Core Java programming and implementation in Android Applications
*Statistics
*SQL , PowerBI
*Descriptive analysis using data visualizations and generating insights from data
*Rated "Excellent"for my Android UI App for a leading startup in home
services domain.
*Won a "Wildcraft Bag"from Coding Blocks for ranking 5/217 in Data Science Master Course

=> House Price Prediction Web App
A Flask App which incorporates Machine Learning model made using jupyter notebook
and data from kaggle website. The app predicts house prices in different places in Bangalore based on parameters like number of beds,bathrooms and square feet area. Exploratory Data Analysis , Feature Selection and used Regression model for multiple
variables.
Implemented Encoding Techniques for categorical features.

=> Titanic Survival Prediction
Analysed the dataset on Titanic survival prediction . Performed Data Visualization and procedures like cleaning the data for analysing and
implemented machine learning models to classify survival of a passenger. Successfully Implemented Logistic Regression.

=> Handwriting Recognition App
A Flask App which incorporates machine learning model made using jupyter notebook and
data from kaggle website. The app recognizes the handwriting image provided based on parameters present in the
images provided. The MNIST database contains 60,000 training images and 10,000 testing images , used
Convolutional Neural Networks to train and identify the images Object Detection in Images(Final Year Project)
Trained an Object Detection using Transfer Learning (Deep Learning).
It identifies the presence of an object in the images and tells which class it belongs to.

=> Country Guide
Developed an android application which acts like a tourist destination guide , showing best
places a person can go to when visiting a particular city.
Imlemented Android Studio and Java programming language