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Name: Harmanveer Singh

Type: User

Bio: Data Scientist | Front-end Developer

Hi👋, I'm Harmanveer

Passionate front-end developer with a knack for creating captivating user experiences. Equally adept in the realm of data science, exploring insights and unraveling patterns from complex datasets.

Embracing the art of code to build innovative solutions that bridge design and analytics. 🚀

Harmanveer Singh's Projects

amazon-web-scraping

In this repo, I will be scraping product information from Amazon website. Accordingly, I will take considering a “Playstation 5” as the target product.

bird-species-prediction-using-deep-learning

Using convolutional neural networks to build and train a bird species classifier on bird pics data with corresponding species labels, also build GUI for the same.

campus-placement-prediction

Student Campus-Placement Prediction ML Project using Python

The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.

credit-card-fraud-detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

diabetes-prediction-using-machine-learning

Diabetes is a medical disorder that affects how the body uses food for energy. When blood sugar levels rise, the pancreas releases insulin. If diabetes is not managed, blood sugar levels can rise, increasing the risk of heart attack and stroke. We used Python machine learning to forecast diabetes.

diagnosis-of-pneumonia-by-cnn-classifier

The primary objective s to develop an accurate and efficient classification model capable of identifying pneumonia cases in patients based on chest X-ray images. Pneumonia is a prevalent and potentially life-threatening respiratory infection. Early detection plays a critical role in timely intervention and effective treatment.

dust-detection-on-solar-panel-using

The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.

finding-you-next-perfect-house

In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.

geopy

Exploring and Learned basic functionality of Geopy in this repo.

harmanveer-2546

About Myself

heart-failure-prediction

Heart failure is a severe condition in which the heart is unable to pump blood effectively. Early prediction of heart failure can significantly improve patient outcomes. This project aims to build a predictive model using machine learning techniques to identify patients at risk of heart failure.

house-price-prediction-

We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.

maternal-health-classification

Many pregnant women die from pregnancy issues as a result of a lack of information on maternal health care during and after pregnancy. It is more common in rural regions and among lower-middle-class families in emerging countries. During pregnancy, every minute should be observed to ensure the proper growth of the baby and the safe delivery.

movie-industry

Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.

music-genre-classification

Classifying the genre of a music using deep neural networks.

nasa-asteroid-classification

Classifying whether an asteroid is hazardous or not.

netflix-homepage

This is the core code from scratch to clone the landing page of Netflix using HTML, CSS and JavaScript.

nlp

Natural Language Processing (NLP) is the sub field of computer science especially Artificial Intelligence (AI) that is concerned about enabling computers to understand and process human language.

nuron

Site made for NFT sale using HTML, CSS, JavaScript, and Bootstrap. It is responsive too.

panda-basics

Pandas (which is a portmanteau of “panel data”) is one of the most important packages to grasp when you’re starting to learn Python. The package is known for a very useful data structure called the pandas Data Frame.

pistachio-detection

Pistachios are nutritious nuts that are sorted based on the shape of their shell into two categories: Open mouth and Closed mouth. The open-mouth pistachios are higher in price, value, and demand than the closed-mouth pistachios. Because of these differences, it is considerable for production companies to precisely count the number of each kind.

predicting-customer-churn-for-a-telecom-company

Customer churn is a significant issue for big business companies. Companies are attempting to create methods for predicting customer churn to get a direct impact on getting more revenues, particularly in telecom companies.

prediction-of-ticket-cancellation

The objective is to develop a model that accurately predicts whether users will cancel their tickets. Each cancellation incurs a fine for the ticket registration site from the passenger company.

rainfall-prediction-using-machine-learning

Today there are no certain methods by using which we can predict whether there will be rainfall today or not. Even the meteorological department’s prediction fails sometimes. In this project, I learn how to build a machine learning model which can predict whether there will be rainfall today or not based on some atmospheric factors.

recognizing-digits

I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.

recurrent-neural-networks

Documentation related to RNN

reducing-data-entries

Way to delete data entries from csv/excel file using. For excel file, use excel instead of csv in the code.

road-network-using-python

Introducing a python package named OSMnx. OSMnx is open source package to download road network from OpenStreetMap(OSM).

running-pose-estimation

Running Pose Estimation involves detecting and tracking the key landmarks or points on a person's body in an image or video. The goal is to understand and analyze the body's pose, movements, and gestures, which can be valuable for various applications.

harmanveer-2546 Goto Github PK

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