Solved end-to-end Data Science Projects in Telecommunications

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Data Science Projects in Telecommunications

Azure Deep Learning-Deploy RNN CNN models for TimeSeries

In this Azure MLOps Project, you will learn to perform docker-based deployment of RNN and CNN Models for Time Series Forecasting on Azure Cloud.

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Build Multi Class Text Classification Models with RNN and LSTM

In this Deep Learning Project, you will use the customer complaints data about consumer financial products to build multi-class text classification models using RNN and LSTM.

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Skip Gram Model Python Implementation for Word Embeddings

Skip-Gram Model word2vec Example -Learn how to implement the skip gram algorithm in NLP for word embeddings on a set of documents.

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Deep Learning Project for Time Series Forecasting in Python

Deep Learning for Time Series Forecasting in Python -A Hands-On Approach to Build Deep Learning Models (MLP, CNN, LSTM, and a Hybrid Model CNN-LSTM) on Time Series Data.

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GCP MLOps Project to Deploy ARIMA Model using uWSGI Flask

Build an end-to-end MLOps Pipeline to deploy a Time Series ARIMA Model on GCP using uWSGI and Flask

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Predict Churn for a Telecom company using Logistic Regression

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.

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NLP Project for Multi Class Text Classification using BERT Model

In this NLP Project, you will learn how to build a multi-class text classification model using using the pre-trained BERT model.

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Build a Text Classification Model with Attention Mechanism NLP

In this NLP Project, you will learn to build a multi class text classification model with attention mechanism.

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FEAST Feature Store Example for Scaling Machine Learning

FEAST Feature Store Example- Learn to use FEAST Feature Store to manage, store, and discover features for customer churn prediction machine learning project.

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Time Series Forecasting Project-Building ARIMA Model in Python

Build a time series ARIMA model in Python to forecast the use of arrival rate density to support staffing decisions at call centres.

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Time Series Project to Build a Multiple Linear Regression Model

Learn to build a Multiple linear regression model in Python on Time Series Data

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Build a Multi ClassText Classification Model using Naive Bayes

Implement the Naive Bayes Algorithm to build a multi class text classification model in Python.

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Build Time Series Models for Gaussian Processes in Python

Time Series Project - A hands-on approach to Gaussian Processes for Time Series Modelling in Python

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Build ARCH and GARCH Models in Time Series using Python

In this Project we will build an ARCH and a GARCH model using Python

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AWS MLOps Project to Deploy Multiple Linear Regression Model

Build and Deploy a Multiple Linear Regression Model in Python on AWS

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AWS MLOps Project for Gaussian Process Time Series Modeling

MLOps Project to Build and Deploy a Gaussian Process Time Series Model in Python on AWS

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AWS MLOps Project for ARCH and GARCH Time Series Models

Build and deploy ARCH and GARCH time series forecasting models in Python on AWS .

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Time Series Analysis with Facebook Prophet Python and Cesium

Time Series Analysis Project - Use the Facebook Prophet and Cesium Open Source Library for Time Series Forecasting in Python

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Churn Prediction in Telecom using Machine Learning in R

Estimating churners before they discontinue using a product or service is extremely important. In this ML project, you will develop a churn prediction model in telecom to predict customers who are most likely subject to churn.

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Ray han

Tech Leader | Stanford / Yale University

ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain hands-on experience and prepare for job interviews. I would highly recommend this platform to anyone looking to upskill and stay updated with the latest projects and solutions. Overall this platform is awesome and worth the money spent as we get a lot of value out of it and helps soar our career to greater heights.

Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd

As a student looking to break into the field of data engineering and data science, one can get really confused as to which path to take. Very few ways to do it are Google, YouTube, etc. I was one of them too, and that's when I came across ProjectPro while watching one of the SQL videos on the E-Learning Bridge YouTube channel. One of the standout features was that it featured real projects on topics I just read about, across different job descriptions at the time. The main issue was the right path to guide us in using these tools and adding to the resume, and that's exactly what ProjectPro got me through. The fact that I can have a reliable route and videos explaining each tool in detail really motivated me to continue with the platform. Another thing we all struggle with is how to really connect with someone if we're stuck somewhere because there are so many solutions. But this has also been solved by experts we can chat with and believe me when I say this they will do whatever it takes to solve your problem even if it takes longer than expected. In my sophomore year of college and getting hands-on exposure to technologies like PySpark, NLP, Kafka, etc, and being able to really apply the theory and work on a project from start to finish really boosted my confidence in general!

Savvy Sahai

Data Science Intern, Capgemini

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

ProjectPro is an awesome platform that helps me learn much hands-on industrial experience with a step-by-step walkthrough of projects. There are two primary paths to learn: Data Science and Big Data. In each learning path, there are many customized projects with all the details from the beginner to the expert. As a new data science learner, you can just follow these projects to master the important techniques quickly. It is really helpful for both my research and job searching. Hope you can come and join ProjectPro to win a great future for yourself.

Jingwei Li

Graduate Research assistance at Stony Brook University

I come from Northwestern University, which is ranked 9th in the US. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge. This is when I was introduced to ProjectPro, and the fact that I am on my second subscription year only goes to prove that the ROI is satisfactory. I managed to switch to analytics companies, only because of the relevant practical experience this product served me with. I now work at a leading healthcare startup as a Senior Analytics Consultant. I am a customer who is not only satisfied with ProjectPro but also mighty impressed by how Dezyre bends over backward to ensure customer satisfaction. I have had a couple of interactions with Binny and each time I was left happy and content. I also had a conversation with their investors, and I was really glad to articulate my appreciation of the product. They not only have enterprise-grade projects, but also set up 1:1 sessions with seasoned experts in case we get stuck, or are having trouble understanding a certain concept. As the cherry on the icing, there are experts to guide you with resume writing and interview preparation as well, to culminate the whole process of making you job-ready. Kudos to ProjectPro!

Abhinav Agarwal

Graduate Student at Northwestern 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 come from a background in Marketing and Analytics and when I developed an interest in Machine Learning algorithms, I did multiple in-class courses from reputed institutions though I got good theoretical knowledge, the practical approach, real word application, and deployment knowledge were missing. ProjectPro helped me bridge that gap. ProjectPro has real-time projects that helped me improve my skills. What I liked most is that I get exposure to so many projects, given the work nature I wouldn't have gotten exposure to such a variety of projects and their approaches. It is helping me apply knowledge to other projects too. I highly recommend ProjectPro to everyone who wants to excel in their DataScience career.

Ameeruddin Mohammed

ETL (Abintio) developer at IBM

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Solved end-to-end Data Science Projects in Telecommunications

Get ready to use Data Science Projects in Telecommunications for solving real-world business problems

Data Science Projects in Telecommunications

Azure Deep Learning-Deploy RNN CNN models for TimeSeries

Build Multi Class Text Classification Models with RNN and LSTM

Skip Gram Model Python Implementation for Word Embeddings

Deep Learning Project for Time Series Forecasting in Python

GCP MLOps Project to Deploy ARIMA Model using uWSGI Flask

Predict Churn for a Telecom company using Logistic Regression

NLP Project for Multi Class Text Classification using BERT Model

Build a Text Classification Model with Attention Mechanism NLP

FEAST Feature Store Example for Scaling Machine Learning

Time Series Forecasting Project-Building ARIMA Model in Python

Time Series Project to Build a Multiple Linear Regression Model

Build a Multi ClassText Classification Model using Naive Bayes

Build Time Series Models for Gaussian Processes in Python

Build ARCH and GARCH Models in Time Series using Python

AWS MLOps Project to Deploy Multiple Linear Regression Model

AWS MLOps Project for Gaussian Process Time Series Modeling

AWS MLOps Project for ARCH and GARCH Time Series Models

Time Series Analysis with Facebook Prophet Python and Cesium

Churn Prediction in Telecom using Machine Learning in R

Customer Love

Latest Blogs

We power Data Science & Data Engineering projects at

Join more than 115,000+ developers worldwide

We power Data Science & Data Engineering
projects at

Join more than
115,000+ developers worldwide