A machine learning engineer, proficient in creating specialised environments and evaluation frameworks. Built claude cod

kalyan sekhar  • Peerlist

This is an application of Convolution Neural Networks to detect different hand gestures and construct a bounding box around them. The hand image is extracted from the webcam and used to train as well predict the type of gesture TensorFlow Object detection (TFOD) was used to train the pre-existing Efficient net  model (transfer learning) and apply it to the custom dataset that can accurately predict hand gestures

Hand gesture Detection using custom dataset (

This Module is about the Use of Xarray for the exploratory data analysis of the given file This data is about the indian climate for the time period of 1 Year. X array has been used to extract the meaningful data from this file. Some comparisions on the gpp of the East and west is done so as to see any similarties/disparities between the two

Exploring Indian Climate

Based on the different parameters provided on the tumor , a machine learning model is created which finds out whether the tumor is malignant or benign

Detecting Breast cancer using Machine learnin

Web scraping is done on some popular websites such as LinkedIn and Twitter to extract some particular tweets (Twitter) and some relevant job postings(LinkedIn)

Twitter and LinkdIn web scrapping

The Intel Image Dataset is a computer vision problem wherein 6 different types of terrains are provided as training samples, and CNN architecture is built to classify the images according to their labels . Keras , Tensorflow is used to tackle this problem using CNN architecture

Intel Image Dataset Classification ( CNN)

With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this Kaggle competition challenges to predict the final price of each home.