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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Jingwei Li

Graduate Research assistance at Stony Brook University

I am the Director of Data Analytics with over 10+ years of IT experience. I have a background in SQL, Python, and Big Data working with Accenture, IBM, and Infosys. I am looking to enhance my skills in Data Engineering/Science and hoping to find real-world projects fortunately, I came across Project Pro. Project Pro helped me by providing an in-depth explanation of the end-to-end real-world data engineering projects. From data extraction, transformation, and storage up to data visualization. I learned more about Kafka, AWS, NI-FI, and Spark. Thru the help of the knowledge I gained from Project Pro, I was able to do well in the coding exams, interview and helped me land a job at EY. I will recommend every aspiring data professional as well as existing data science/engineer expert to try Project Pro to enhance their knowledge.

Ed Godalle

Director Data Analytics at EY / EY Tech

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Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd

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Data Consultant at Confidential

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ETL (Abintio) developer at IBM

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Data Science Intern, Capgemini

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Graduate Student at Northwestern University

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Ray han

Tech Leader | Stanford / Yale University