Sandesh Pal's Projects
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.
In this project, you will be using a K-means clustering algorithm to detect the presence of breast cancer based on target attributes. K-means clustering is an unsupervised learning technique.
Chatbots are extremely helpful for business organizations and also the customers. The majority of people prefer to talk directly from a chatbox instead of calling service centers. Facebook released data that proved the value of bots. More than 2 billion messages are sent between people and companies monthly. The HubSpot research tells us that 71% of people want to get customer support from messaging apps. It is a quick way to get their problems solved so chatbots have a bright future in organizations.
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.
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.
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.
Provides color names and HTML/RGB mappings in various output formats.
A beginner level approach to visualize the outbreak of coronavirus using python
The credit card fraud detection features uses user behavior and location scanning to check for unusual patterns. These patterns include user characteristics such as user spending patterns as well as usual user geographic locations to verify his identity. If any unusual pattern is detected, the system requires revivification.
Problem Statement: A cloth manufacturing company is interested to know about the segment or attributes causes high sale. Approach - A decision tree can be built with target variable Sale (we will first convert it in categorical variable) & all other variable will be independent in the analysis.
Use decision trees to prepare a model on fraud data treating those who have taxable_income <= 30000 as "Risky" and others are "Good"
Parkinson’s disease is a progressive disorder of the central nervous system affecting movement and inducing tremors and stiffness. It has 5 stages to it and affects more than 1 million individuals every year in India. This is chronic and has no cure yet. It is a neurodegenerative disorder affecting dopamine-producing neurons in the brain.
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.
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.
A type of yellow journalism, fake news encapsulates pieces of news that may be hoaxes and is generally spread through social media and other online media. This is often done to further or impose certain ideas and is often achieved with political agendas. Such news items may contain false and/or exaggerated claims, and may end up being viralized by algorithms, and users may end up in a filter bubble.
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.
A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level.
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.
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