harmanveer2546 Goto Github PK

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-recruitment-prediction

Student Campus-Placement Prediction ML Project using Python

covid-19-chances-detection

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.

crud-app

decision_tree

Decision trees for healthcare analysis are the most widely used machine learning algorithms used for both classification and regression tasks. These are powerful algorithms that can fit complex data. These algorithms form the basis of ensemble algorithms in machine learning.

detect-an-unknown-language-using-python

The idea behind language detection is based on the detection of the character among the expression and words in the text. The main principle is to detect commonly used words like to, of in English.

diabities-prediction

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.

geopy

Exploring and Learned basic functionality of Geopy in this repo.

harmanveer2546

Config files for my GitHub profile.

heart

Predicting the presence of heart disease based on several health-related factors and Performing - i.) Data Cleaning ii.) Data Pre-Processing iii.) EDA iv.) Compare 5 different classification algorithms (Logistic Regression, Decision Tree, Random Forest, KNN and SVC)

house-price-prediction-using-machine-learning

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.

ice-cream

implementing-web-scraping-in-python-with-beautifulsoup

Just implementing basics functions of Beautiful soup

k-nearest-neighbors

It is also know as KNN, which is used for either regression or classification problems, it is typically used as a classification algorithm, working off the assumption that similar points can be found near one another.

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.

nuron

port

portfolio

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.

randomforest

Random Forest is a supervised machine learning algorithm which is based on ensemble learning. I have used iPhone Dataset to perform this and predicted whether user will buy iPhone or not.

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.

reducing-data-entries

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

school

scraping-covid-19-statistics-using-beautifulsoup

Coronavirus, one of the biggest pandemic has brought all the world to Danger. Along with this, it is one of the trending News, everyone has this day. In this repo, I will be scraping data and printing Covid-19 statistics in human-readable form.

sentiment-analysis-of-amazon-fine-food

Natural language processing (NLP) is a branch of artificial intelligence (AI) that enables computers to comprehend, generate, and manipulate human language. Natural language processing has the ability to interrogate the data with natural language text or voice.