shashankshanu102,Shashank Shanu,github

1-winner-prediction-of-pubg

Performing Exploratory Data Analysis( EDA ) to get some useful insights form the data and Building Regression Model to Predict Winner of the Game PUBG.

ai_fruits_classifier_using_cnn

Build a CNN Based multi classifier to detect which type of fruits it is? There are around 18 types of fruits on which we are training our classifier

big-market-analysis-dataset

Predicting Sales using the Training set and Testing set by applying Linear Regression Algorithm and then also applying Regularization: Lidge and Lasso Regression

Problem Statement """A retail company “ABC Private Limited” wants to understand the customer purchase behaviour (specifically, purchase amount) against various products of different categories. They have shared purchase summary of various customers for selected high volume products from last month. The data set also contains customer demographics (age, gender, marital status, city_type, stay_in_current_city), product details (product_id and product category) and Total purchase_amount from last month. Now, they want to build a model to predict the purchase amount of customer against various products which will help them to create personalized offer for customers against different products."""

churn_prediction_pycaret

An introduction to Customer Churn Prediction using Pycaret

data_scrapping_project

Crawling popular websites & create a database of Indian movie celebrities with their images and personality traits

database-connectivity-and-operations-using-python

The following is the example of connecting with Sqlite3 database "my_database" and creating table student_grade and inserting values inside it.

deep_learning

Dog_Breed_Classifier

deep_learning_style_transfer

Image Style Transfer Using Convolutional Neural Networks VGG19

exploratory-data-analysis-eda-

Prepare a report exploring the boarding & accommodation trends in the city of San Diego, California, United States with the data provided by identifying the key drivers/metrics.

image_scraping_with_python

You might be wondering “Hey Shashank, why in the world are you talking about scraping images?” Great question. The reason is because image acquisition is one of the most under-talked about subjects in the computer vision field! Think about it. Whether you’re leveraging machine learning to train an image classifier, building an image search engine to find relevant images in a collection of photos, or simply developing your own hobby computer vision application — it all starts with the images themselves. And where do these images come from? Well, if you’re lucky, you might be utilizing an existing image dataset like CALTECH-256, ImageNet, or MNIST. But in the cases where you can’t find a dataset that suits your needs (or when you want to create your own custom dataset), you might be left with the task of scraping and gathering your images. While scraping a website for images isn’t exactly a computer vision technique, it’s still a good skill to have in your tool belt. I’ll show you how to use Beautiful Soup and the Python programming language to scrape images from webpages. Here we will be scraping the website: https://www.creativeshrimp.com/top-30-artworks-of-beeple.html

ineuron

Assignments

loan-prediction-

Problem Statement About Company Dream Housing Finance company deals in all home loans. They have presence across all urban, semi urban and rural areas. Customer first apply for home loan after that company validates the customer eligibility for loan. "Problem" Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers. Here they have provided a partial data set.

lungs_diseases_prediction

Classification of Lungs Diseases using Deep Learning techniques

machine-learning-classification-algorithm

Analysis of ‘People Charm’ dataset using classification Algorithm, People Charm a growing company is facing a high attrition rate among their employees which in turn affects their business due to lack of expertise and experience. Their HR department is assigned the task to reduce the attrition rate by retaining employees who are about to churn out. They need to recommend special plans or strategies which will help them to retain their employees which in turn will help them to grow bigger as a company.

marketing-analytics

This Repository contains of some of my Marketing analytics projects.

nlp_sentimentsanalysis

Find what are the most Customer customer concern areas using NLP.

py

Repository to store sample python programs for python learning

recommender_system

Build a movie Recommender System which can recommender some movie's based on user preference history.

scikit-learn

scikit-learn: machine learning in Python

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

telcov_project

Teclov, an asset management company. Teclov wants to make investments in a few companies. The CEO of Teclov wants to understand the global trends in investments so that she can take the investment decisions effectively. Teclov has two minor constraints for investments: It wants to invest between 5 to 15 million USD per round of investment It wants to invest only in English-speaking countries because of the ease of communication with the companies it would invest in ! For your analysis, consider a country to be English speaking only if English is one of the official languages in that country

transformertts

🤖💬 Implementation of a non-autoregressive Transformer based neural network for text to speech.

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