saisubhasish

shredder-machine

Complete-Self-Driving-Car-main

testGItPush

Detectron2_WebApp

Sign-Language-Generation-From-Video-using-YOLOV5

Cards_ObjectDetection_Detectron2

docker-airflow-master

EDA_TimeSeries_LSTM

Thyroid_Data_pipeline

Cat-Dog-Classification-AWS

ComputerVision_TransferLearning

dog-cat-deployment

APS_DATA_PIPELINE

Cat-Dog-Classification-GCP

ml-data-pipeline-main

All_ML_Algorithms_implementation_on_different_datasets

This repository contains implementation of ML algorithms like: Linear Regression, Naive Bayes, PCA, Stacking, XG Boost, Logistic Rregression, DBSCAN, SVM, Cross Validation, Ensemble Technique, K-Means and other sk-learn libraries on jupyter notebook.

FSDS_Task_API_Database

FSDS_Task_Numpy_n_Pandas

FSDS_Task_Python

FSDS_Task_Database

Industry_Ready_Projects

TimeSeries_LSTM_ARIMA

DL_Implementation_ANN

Image_Scrapper

DeepLearning_SSP

Neuron-pkg

Python_logging_basic_and_doc_string

Perceptron_Implementation_in_Python

sensor-fault-detection

The Air Pressure System (APS) is a critical component of a heavy-duty vehicle that uses compressed air to force a piston to provide pressure to the brake pads, slowing the vehicle down. The benefits of using an APS instead of a hydraulic system are the easy availability and long-term sustainability of natural air.

ML_Algorithms-in-python