agriculture-optimization-predicting-model

This model predict the agriculture seed . In this this what we grow in our agriculture land.

analyse-gdp-of-countries-using-numpy

DESCRIPTION Problem Statement: Evaluate the dataset containing the GDPs of different countries to: Find and print the name of the country with the highest GDP Find and print the name of the country with the lowest GDP Print out text and input values iteratively Print out the entire list of the countries with their GDPs Print the highest GDP value, lowest GDP value, mean GDP value, standardized GDP value, and the sum of all the GDPs

analyse-london-olympics-dataset-

DESCRIPTION Problem: Evaluate the dataset of the Summer Olympics, London 2012 to: Find and print the name of the country that won maximum gold medals, Find and print the countries who won more than 20 gold medals, Print the medal tally, Print each country name with the corresponding number of gold medals, and Print each country's name with the total number of medals won.

analyse-newyork-city-fire-department-dataset-pandas

DESCRIPTION What to: A dataset in CSV format is given for the Fire Department of New York City. Analyze the dataset to determine: The total number of fire department facilities in New York city The number of fire department facilities in each borough The facility names in Manhattan

analyse-the-federal-aviation-authority-dataset-using-pandas

DESCRIPTION Problem: Analyze the Federal Aviation Authority (FAA) dataset using Pandas to do the following: View aircraft make name state name aircraft model name text information flight phase event description type fatal flag 2. Clean the dataset and replace the fatal flag NaN with “No” 3. Find the aircraft types and their occurrences in the dataset 4. Remove all the observations where aircraft names are not available 5. Display the observations where fatal flag is “Yes”

analysing-ad-budgets-for-different-media-channels

DESCRIPTION Problem: The given dataset contains ad budgets for different media channels and the corresponding ad sales of XYZ firm. Evaluate the dataset to: Find the features or media channels used by the firm Find the sales figures for each channel Create a model to predict the sales outcome Split as training and testing datasets for the model Calculate the Mean Square Error (MSE)

analysing-spam-collection-data

analysis-stock_price

blog-website-using-python-flask-bootstrap

Python-Flask-Course

book_recomendation_system

building-systems-with-the-chatgpt-api-short-course

Level up your use of LLMs. Learn to break down complex tasks, automate workflows, chain LLM calls, and get better outputs.

churnannalyzer-customer-churn-prediction-using-ann

ChurnANNalyzer is a customer churn prediction project that utilizes Artificial Neural Network (ANN) algorithm. The project aims to analyze and predict customer churn in a given dataset.

complete_oops_concepts_in_python_in_one_notebook

data_manipulation_pandas_python

I Have use Python library named pandas for data manipulating

eda-of-pakistan-covid-19

email-spam-predictor

This machine learning model tell us is email or message spam or ham.

fin-tech-ml-project

The Financial Technology company (Fin-Tech Company) launch there a mobile app. This app used for financial purposes like bank loans, savings, etc. in one place. It has two versions free and premium. The free version app contains basic features and customer wants to use the premium feature then they have to pay some amount to unlock it. The main goal of the company is to sell the premium version app with low advertisement cost but they don’t know how to do it. That’s a reason they are provided the premium feature in the free version app for 24 hours to collect the customer’s behavior. After that, the company hired the Machine Learning Engineer to find insight from the collected data (customer’s behavior). The job of the ML engineer is to find or predict new customer who is interested to buy the product or not. If the customers will buy a product anyway so no need to give an offer to that customer and loss the business. Only give offers to those customers who are interested to use premium version app but they can’t afford its cost. So the company will give offers to those customers and earn more money.

fin-tech-project

The Financial Technology company (Fin-Tech Company) launch there a mobile app. This app used for financial purposes like bank loans, savings, etc. in one place. It has two versions free and premium. The free version app contains basic features and customer wants to use the premium feature then they have to pay some amount to unlock it.

french-game-tweets-toxicity-detection

Welcome to our project, where we leverage advanced sentiment analysis techniques to detect and classify toxic content in game-related tweets. Our goal is to develop a predictive model that can accurately identify toxicity based on the language used in these tweets.

furflix-classifying-cats-and-dogs-with-cnn

Project Name: "FurFlix 🐱🐶: Classifying Cats and Dogs with CNN" Description: This project utilizes Convolutional Neural Networks (CNN) to build a model for classifying images of cats and dogs with an impressive 80% accuracy.

gradadmit-ann-predictor

This project, GradAdmit-ANN-Predictor, focuses on predicting the likelihood of admission to a graduate program using an Artificial Neural Network (ANN) algorithm.

gufhtugu_publications_books_web_scrape_python

Gufhtugu Publication Books Web Scraping Using Python , Requests & Beautiful Soup

hello-m

Repository for R programming.

image_processing_python_sklearn

indeed_jobs_web_scraping_python

Data Science Jobs Scrape Only in Pakistan from Indeed.com

inotebook_mern_stack_application

Welcome to iNotebook - Your Notes Saved in the Cloud! At iNotebook, we believe that capturing and organizing your thoughts should be effortless and convenient. That's why we have created a web application that revolutionizes the way you take notes and store them securely in the cloud.

laptop-price-predictor-model

learn_python_in_20_days

Learn Python in 20 Days. Beginner to Advance Level Course.

machine-learning-models-

machine-learning-projects