Each project comes with 2-5 hours of micro-videos explaining the solution.
Get access to 50+ solved projects with iPython notebooks and datasets.
Add project experience to your Linkedin/Github profiles.
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
In this project, we will build a model to predict the purchase amount of customers against various products which will help a retail company to create personalized offer for customers against different products.
In this data science project, we will look at few examples where we can apply various time series forecasting techniques.
In this data science project, you will be working on building a machine learning model that can identify nerve structures in a data set of ultrasound images of the neck. This will help enhance catheter placement and contribute to a more pain free future.
Using this Kaggle dataset, you will explore which type of employees make less or more money, or which employees get normal pay hikes and promotions.
In this machine learning project, we will implement Back-propagation Algorithm from scratch for classification problems.
The goal of this NLP project is to predict which of the provided quora question pairs contain two questions with the same meaning.
Given a customer's search query and the returned product in text format, your predictive model needs to tell whether it is what the customer was looking for.
Data Science Project-Predict the car insurance policy a customer buys after receiving a number of quotes.
Deep Learning Project using Keras Deep Learning Library to predict the effect of Genetic Variants to enable personalized Medicine.
In this machine learning project you will work on creating a robust prediction model of Rossmann's daily sales using store, promotion, and competitor data.
In this data science project, you will contextualize customer data and predict the likelihood a customer will stay at 100 different hotel groups.
In this data science project, we will predict internal failures of Bosch using thousands of measurements and tests made for each component along the assembly line.
In this data science project with Python, we will complete the analysis of what sorts of people were likely to survive.You will learn to use various machine learning tools to predict which passengers survived the tragedy.
In this machine learning project , you will predict the total travel time of taxi trips from their initial partial trajectories.
In this machine learning project, you will build a model to predict the purchase amount of customer against various products which will help the company create personalized offer for customers against different products.
Build a predictive model to correctly classify products between 9 product categories (fashion, electronics, etc.) using the Otto Group dataset.
In this project, we are going to predict how capable each applicant is repaying a loan.
In this project, we will automate the loan eligibility process (real-time) based on customer details while filling the online application form.
The goal of this machine learning project is to predict which products existing customers will use next month based on their past behaviour and that of similar customers.
The goal of this data science project is to take an image of a handwritten single digit, and determine what that digit is.
In this machine learning project, we will build a predictive model to find out the sales of each product at a particular store.
In this data science project, we will predict the number of inquiries a new listing receives based on the listing's creation date and other features.
Forecast the business for the upcoming years by Exploring Hidden Trends, Calculating Machine Productivity , Extrapolation and Assumptions and Summarizing Answers through Visualizations.
Build a machine learning model that will predict which jobs users will apply to given their past applications, demographics and work history.
In this project, we will use traditional time series forecasting methods as well as modern deep learning methods for time series forecasting.
In this project, we are going to talk about insurance forecast by using regression techniques.
Evaluate and apply the most effective models to interesting data science problems using python data science programming language.
Successfully perform all the steps involved in a complex data science project using Python.
You will explore and learn to use Python’s impressive data science libraries like – NumPy, SciPy, Pandas, Sci-Kit and more.
Here are our industry expert panel recommendations on top 5 python data science projects for beginners –
There are tons of interesting data science project ideas that one can create and are not limited to what we have listed. DeZyre’s python data science mini projects will help you to implement your imagination in building data products using python language. Drop us an email to Khushbu@dezyre.com if you require or would be interested to work on any other kind of dataset. We will try to help you at our best.