Solved end-to-end Data Science Projects in Entertainment & Media

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Data Science Projects in Entertainment & Media

Linear Regression Model Project in Python for Beginners Part 2

Machine Learning Linear Regression Project for Beginners in Python to Build a Multiple Linear Regression Model on Soccer Player Dataset.

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Linear Regression Model Project in Python for Beginners Part 1

Machine Learning Linear Regression Project in Python to build a simple linear regression model and master the fundamentals of regression for beginners.

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Build a Customer Churn Prediction Model using Decision Trees

Develop a customer churn prediction model using decision tree machine learning algorithms and data science on streaming service data.

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Learn How to Build PyTorch Neural Networks from Scratch

In this deep learning project, you will learn how to build PyTorch neural networks from scratch.

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Build a Logistic Regression Model in Python from Scratch

Regression project to implement logistic regression in python from scratch on streaming app data.

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Learn to Build a Polynomial Regression Model from Scratch

In this Machine Learning Regression project, you will learn to build a polynomial regression model to predict points scored by the sports team.

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Build Regression (Linear,Ridge,Lasso) Models in NumPy Python

In this machine learning regression project, you will learn to build NumPy Regression Models (Linear Regression, Ridge Regression, Lasso Regression) from Scratch.

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Topic modelling using Kmeans clustering to group customer reviews

In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.

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Build a Music Recommendation Algorithm using KKBox's Dataset

Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.

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NLP and Deep Learning For Fake News Classification in Python

In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.

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Locality Sensitive Hashing Python Code for Look-Alike Modelling

In this deep learning project, you will find similar images (lookalikes) using deep learning and locality sensitive hashing to find customers who are most likely to click on an ad.

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Forecasting Business KPI's with Tensorflow and Python

In this machine learning project, you will use the video clip of an IPL match played between CSK and RCB to forecast key performance indicators like the number of appearances of a brand logo, the frames, and the shortest and longest area percentage in the video.

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Build a Churn Prediction Model using Ensemble Learning

Learn how to build ensemble machine learning models like Random Forest, Adaboost, and Gradient Boosting for Customer Churn Prediction using Python

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MLOps AWS Project on Topic Modeling using Gunicorn Flask

In this project we will see the end-to-end machine learning development process to design, build and manage reproducible, testable, and evolvable machine learning models by using AWS

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End-to-End Speech Emotion Recognition Project using ANN

Speech Emotion Recognition using RAVDESS Audio Dataset - Build an Artificial Neural Network Model to Classify Audio Data into various Emotions like Sad, Happy, Angry, and Neutral

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Learn Hyperparameter Tuning for Neural Networks with PyTorch

In this Deep Learning Project, you will learn how to optimally tune the hyperparameters (learning rate, epochs, dropout, early stopping) of a neural network model in PyTorch to improve model performance.

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Learn How to Build a Linear Regression Model in PyTorch

In this Machine Learning Project, you will learn how to build a simple linear regression model in PyTorch to predict the number of days subscribed.

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Learn How to Build a Logistic Regression Model in PyTorch

In this Machine Learning Project, you will learn how to build a simple logistic regression model in PyTorch for customer churn prediction.

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Build a CNN Model with PyTorch for Image Classification

In this deep learning project, you will learn how to build an Image Classification Model using PyTorch CNN

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MLOps Project to Build Search Relevancy Algorithm with SBERT

In this MLOps SBERT project you will learn to build and deploy an accurate and scalable search algorithm on AWS using SBERT and ANNOY to enhance search relevancy in news articles.

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Data Science Project-TalkingData AdTracking Fraud Detection

Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

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Customer Love

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Ameeruddin Mohammed

ETL (Abintio) developer at IBM

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Ed Godalle

Director Data Analytics at EY / EY Tech

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Data Science Intern, Capgemini

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Jingwei Li

Graduate Research assistance at Stony Brook University

Having worked in the field of Data Science, I wanted to explore how I can implement projects in other domains, So I thought of connecting with ProjectPro. A project that helped me absorb this topic was "Credit Risk Modelling". To understand other domains, it is important to wear a thinking cap and that's where ProjectPro helped me. I also got a chance to talk to experts who have worked on these domains - they helped me by walking through the project. Kudos to the ProjectPro team!

Gautam Vermani

Data Consultant at Confidential

I think that they are fantastic. I attended Yale and Stanford and have worked at Honeywell,Oracle, and Arthur Andersen(Accenture) in the US. I have taken Big Data and Hadoop,NoSQL, Spark, Hadoop Admin, Hadoop projects. I have been happy with every project. They have really brought me into the forefront of Data Science and Big data. I would recommend this to everyone. It is more than worth the price. After working with them I feel so much more employable for current projects.

Ray han

Tech Leader | Stanford / Yale University

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Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd

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Abhinav Agarwal

Graduate Student at Northwestern University