Solved end-to-end Data Science projects

Solved
end-to-end
Data Science projects

Get ready to use coding projects for solving real-world business problems

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Each project comes with 2-5 hours of micro-videos explaining the solution.

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Project Experience

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Data Science Projects in Python

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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.

Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

In this project, we are going to talk about insurance forecast by using regression techniques.

Data Science Projects in R

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Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

Learn to classify the sentiment of sentences from the Rotten Tomatoes dataset. You will be asked to label phrases on a scale of five values: negative, somewhat negative, neutral, somewhat positive, positive.

In this machine learning project, we will use hundreds of anonymized features to predict if customers are satisfied or dissatisfied for one of the biggest banks - Santander

Machine Learning Projects in Python

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In this machine learning project, we will build a predictive model to find out the sales of each product at a particular store.

Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.

In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

Machine Learning Projects in R

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In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.

In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.

In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.

Deep Learning Projects

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In this deep learning project, you will build a classification system where to precisely identify human fitness activities.

In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.

In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset​ using Keras in Python.

Neural Network Projects

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In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.

In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.

Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

Tensorflow Projects

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The goal of this tensorflow project is to identify hand-written digits using a trained model using the MNIST dataset. The MNIST dataset contains a large number of hand written digits and corresponding label (correct digit)

In this data science project, we are going to work on video recognization data and a robust level of image recognization MNIST data.

In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset​ using Keras in Python.

H2O R Projects

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Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.

In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.

In this project, we are going to work on Deep Learning using H2O to predict Census income.

IoT Projects

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In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

The goal of this IoT project is to build an argument for generalized streaming architecture for reactive data ingestion based on a microservice architecture. 

Keras Deep Learning Projects

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In this deep learning project, we are going to predict which team will win the NCAA basketball tournament of coming 2017 based on past historical data.

In this deep learning project, you will build a classification system where to precisely identify human fitness activities.

In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.

NLP Projects

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The goal of this NLP project is to predict which of the provided quora question pairs contain two questions with the same meaning.

In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.

In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

Data Science Projects :Beginner to Professional

So you are a data scientist, or you are on the learning path of becoming one, and you started looking for a job in this domain. This is not easy, and might be you need to apply to several data scientist jobs before getting one. You can continue learning as many theoretical concepts in data science and machine learning  as you want, but what’s the use if you cannot apply them to real-world problems. Let us suppose you are learning the concept of classification  then just reading and understanding the theory does not help, you should actually pick up a small dataset and then build a classification model using either Python, R or any other programming language. Even if you learn advanced concepts in theory like Stochastic gradient or gradient descent would you ever know how and when to apply these concepts unless you practice it. Our panel of industry experts strongly suggest that working on data science projects with real data can help professionals looking for a serious paid job in data science. Having data science mini projects on your data science resume will help you show the interviewers what you know.

To land a top gig as a data scientist, you have a dreadful challenge ahead. You will need to master diverse data science skills , ranging from machine learning to business analytics. However, the rewards and perks are worth it. If data scientist is the career that you would want to enjoy, then bookmark this page as we have several interesting data science project ideas compiled by our industry experts that will help you master new and impactful data science skills.

Where DeZyre’s Data Science and Machine Learning Courses help you master data science skills and help sharpen them, building multiple data science mini projects will give you hands-on experience solving real-world problems by applying these skills. Designed by industry experts, DeZyre’s data science projects for beginners are a great way to kickstart your journey to become a data geek and build a marketable data science portfolio.

DeZyre’s data science mini projects in Python and R cover diverse industry use cases and you are definitely going to find something that you love or a problem you would want to solve and use your knowledge to do it. Each data science project will let you practice and apply the skills that you have learned in DeZyre’s Data Science,Machine Learning and Deep Learning Courses. In every Python or R data science project you will perform end-to-end analysis, on a real-world data problem, using data science tools and workflows.

As a data science beginner or a student, it can be very difficult to assess which data science projects should actually be done first as a beginner and which projects should be put on the back burner. In choosing what to start with, we have listed the top 10 data science projects for students and beginners that will make learning data science easy.The prime advantage of these data science mini. Projects for beginners is that each one is a complete full-stack data science problem.

Data Science Projects Beginners/Students -

  1. Credit Card Fraud Detection Project
  2. Telecom Churn Prediction Models
  3. Walmart Sales Forecasting
  4. Insurance Prediction
  5. Instacart Market Basket Analysis
  6. Handwritten Digit Classification using MNIST Dataset
  7. BigMart Sales Prediction
  8. Human Activity Recognition using Smartphone Dataset
  9.  Music Recommendation Challenge
  10. Predicting Survival on the Titanic