Sandesh Pal's repositories
Life-Expectancy-Regression
In this project, I'll be predicting a person’s life expectancy based on variables such as education, number of infant deaths, alcohol consumption, and adult mortality. The sentiment analysis project I listed above is a classification problem, which is why I’m adding a regression problem to the list.
sandesh1402
Config files for my GitHub profile.
Codsoft-Data-Science-Inernship-Task
Explore the Projects: 1. [Task 1 TITANIC SURVIVAL PREDICTION ] 2. [Task 2 MOVIE RATING PREDICTION WITH PYTHON] -t. 3. [Task 3 IRIS FLOWER CLASSIFICATION] - The goal of this classification task is to create a machine-learning model that can analyze these measurements and accurately categorize Iris flowers into their respective species.
Facial-Attribute-Recognition-using-CNN
Facial attribute classification is the task of classifying various attributes of a facial image - e.g. whether someone has a beard, is wearing a hat, and so on.
Salary-Prediction-using-Simple-Regression-
This is a simple data where I tried to explain simple linear regression in a simplest way. For the beginner who wants to start their machine learning or data science can follow this simple data to understand simple linear regression. This data consists of salary and years of experience of 35 jobholders. Where I will try to show the relationship between salary and years of experience.
LGMVIP-TASK-NO.7-Prediction-Using-Decision-Tree-
In this project, we aim to create a Decision Tree classifier and visualize it graphically. The purpose is to train the classifier on a given dataset, in this case, the Iris dataset, and then use it to predict the class of new data based on the learned patterns from the training set.
LGMVIP-TASK-NO.6-Digit-Recognizer
The MNIST Handwritten Digit Classification Challenge is a popular machine learning task that involves classifying handwritten digits into their corresponding numerical values (0-9). The goal is to build a model that can accurately recognize and classify these handwritten digits.
LGMVP_DS-TASK-5-Exploratory-Data-Analysis-on-Dataset---Terrorism-
Exploratory Data Analysis (EDA) is a crucial step in understanding and analyzing a dataset. Analyzing the "Terrorism" dataset using EDA techniques can provide valuable insights and help uncover patterns, trends, and relationships within the data.
LGMVP_DS-TASK-4-Image-to-Pencil-Sketch-with-Python
The "Image to Pencil Sketch" project aims to convert a digital image into a pencil sketch-like representation using Python and image processing techniques. The project leverages the capabilities of the OpenCV library, which provides various functions and tools for image manipulation.
LGMVP_DS-TASK-3-Music-Recommendation
Music recommendation project aims to provide personalized music recommendations to users based on their preferences, listening habits, and other relevant factors.
LGMVP_DS-TASK-2-STOCK-MARKET-PREDICTION-
The project "Stock Market Prediction and Forecasting Using Stacked LSTM" focuses on using deep learning techniques, specifically Stacked Long Short-Term Memory (LSTM) networks, to predict and forecast stock market prices.
LGMVIP--DataScience-Task-No.1-Iris-Flowers-Classification-ML-Project-
The Iris dataset consists of measurements of various attributes of three different species of iris flowers: Setosa, Versicolor, and Virginica. The attributes or features measured in the dataset are as follows: Sepal length (in centimeters) Sepal width (in centimeters) Petal length (in centimeters) Petal width (in centimeters)
-CIFAR-10-Object-Detection
CIFAR-10 is a popular image classification dataset consisting of 60,000 32x32 color images in 10 classes, with 6,000 images per class. The 10 classes are airplane, automobile, bird, cat, deer, dog, frog, horse, ship, and truck. The dataset is divided into 50,000 training images and 10,000 testing images.
react-bank
Banking app built in React, Redux, TypeScript, Node, Strapi
Chronic-Kidney-Disease-Prediction
The kidneys filter waste and excess fluid from the blood. As kidneys fail, waste builds up. Symptoms develop slowly and aren't specific to the disease. Some people have no symptoms at all and are diagnosed by a lab test.
Forbes-Global-2000-Visualization-in-World-Map
Since 2003, Forbes’ Global 2000 list has measured the world’s largest public companies in terms of four equally weighted metrics: assets, market value, sales, and profits. This dataset contains the list of the top 2000 companies every year for the past 5 years (2017-2021). This means it covers the post-pandemic situation as well as during the pandemic situation, hence we can analyze how the world's biggest public companies endured the pandemic.
Zomato-Analysis
The basic idea of analyzing the Zomato dataset is to get a fair idea about the factors affecting the aggregate rating of each restaurant, establishment of different types of restaurant at different places, Bengaluru being one such city has more than 12,000 restaurants with restaurants serving dishes from all over the world. With each day new restaurants opening the industry has'nt been saturated yet and the demand is increasing day by day. Inspite of increasing demand it however has become difficult for new restaurants to compete with established restaurants. Most of them serving the same food. Bengaluru being an IT capital of India. Most of the people here are dependent mainly on the restaurant food as they don't have time to cook for themselves. With such an overwhelming demand of restaurants it has therefore become important to study the demography of a location. What kind of a food is more popular in a locality. Do the entire locality loves vegetarian food. If yes then is that locality populated by a particular sect of people for eg. Jain, Marwaris, Gujaratis who are mostly vegetarian. These kind of analysis can be done using the data, by studying different factors.
Choclate-Bar-Data-Analysis
Chocolate is one of the most popular candies in the world. Each year, residents of the United States collectively eat more than 2.8 billion pounds. However, not all chocolate bars are created equal! This dataset contains expert ratings of over 1,700 individual chocolate bars, along with information on their regional origin, percentage of cocoa, the variety of chocolate bean used, and where the beans were grown.
EDA-Customer-Segmentation-Using-K-Means-
This data set is created only for the learning purpose of the customer segmentation concepts , also known as market basket analysis . I will demonstrate this by using unsupervised ML technique (KMeans Clustering Algorithm) in the simplest form.
Water-Quality-Prediction
During the last years, water quality has been threatened by various pollutants. Therefore, modeling and predicting water quality have become very important in controlling water pollution.
IMDB-Data-Analysis
IMDb is the most popular movie website and it combines movie plot description, Metastore ratings, critic and user ratings and reviews, release dates, and many more aspects. The website is well known for storing almost every movie that has ever been released (the oldest is from 1874 - "Passage de Venus") or just planned to be released (newest movie is from 2027 - "Avatar 5"). IMDb stores information related to more than 6 million titles (of which almost 500,000 are featured films) and it is owned by Amazon since 1998.
Titanic-Disater-Prediction
This program or Project is done to predict if a passenger survived the sinking of the Titanic or not. For each in the test set, you must predict a 0 or 1 value for the variable.