again

analyze-runkeeper-fitness-data-

begineer_code

ci-cd

First try to make ci cd pipeline

cnn-first-model

build image recognition using fashion mninst dataset

cnn-model-using-cifar-10

Image recognition using cifar-10 daataset using tenosrflow

crop-recomendation-model

Here, I present you a Crop recomendation system which would allow the users ro recommend the most suitable crops to grow in a particular farm based on various parameters. It helps the farmers to get informed decision about the farming strategy.

deep_end_to_end_project

This project will contain from scratch to development

deep_learning_end_to_end_project

This project will be containing the full pipelines of deep learning

excel-worksheet

THIS IS BANKNIFTY AND NIFTY DATA FOR 1 YEAR YOU NEED TO TELL ME THE EACH TRADING DAY RANGE AND THE RESULT SHOULD BE ON EXCEL THE DAY RANGE WILL BE HIGH PRICE OF SINGLE DAY AND LOW PRICE FOR THE DAY

fd-cnn

ADL and Fall Detection

first-predicting-model

git_pratice

Praticing git commands

history

ml-model-dockerize

Deploying easy ml model using docker and fasapi to understand flow

numpy-101-worsheet

Praticing numpy questions for data preprocessing and data analaysis

openprattice

learning how to push on git from vscode

pattern_codes

pneumonia_detection-

Worked on CNN using published dataset for Pneumonia detection.

practice

practice_activity_recognition_using-ann

Build ,saved and use it in api for activity recognitiion using ANN

random_forest

regression_model-using-tensorflow

IT is a regression predictive model which proof the moor's law which states that "number of transistor per square of transistor per square inch on an integrated circuit"

scala-s-real-world-project-repository-data

Scala's real-world project repository data

seasighter

Config files for my GitHub profile.

sorting-visualizer

Sorting Visualizer is a project which will help us to understand the sorting algorithm using Visualization with ease.

sparks_projct

Machine Leaning Project

tensorflow_first_model

Build a deep learning model using Tensorflow

tf-ann-classification

IT classifies the MNIST dataset with 94% accuracy