ProjectPro

AUGUST 28, 2021

The most trusted way to learn and master the art of machine learning is to practice hands-on projects. Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems.

Portfolio 52

Portfolio Project Datasets Algorithm 52

U-Next

NOVEMBER 10, 2022

Machine Learning is the science of getting computers to act without being explicitly programmed. Algorithms are used to make predictions about future data, such as what movie you might like or what price you should pay for your next car. . Machine Learning algorithms are often used for classification and prediction problems.

Machine Learning 52

Machine Learning Management Medical Insurance 52

ProjectPro

SEPTEMBER 26, 2021

Machine Learning: Big Data, Machine Learning, and Artificial Intelligence often go hand-in-hand. Data Scientists use ML algorithms to make predictions on the data sets. Basic knowledge of ML technologies and algorithms will enable you to collaborate with the engineering teams and the Data Scientists.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

APRIL 1, 2021

Database Querying Language - SQL Math and Statistic Concepts Machine Learning and Deep Learning Concepts Data Wrangling Data Visualization Model Building and Deployment Software Engineering Know-how of popular deep learning frameworks like PyTorch, TensorFlow, and others. Build a Job-Winning Data Science Portfolio.

Data Science 40

Data Science Telecommunication Algorithm Machine Learning 40

ProjectPro

AUGUST 2, 2021

This process is almost indispensable even for more complex algorithms like Optical Character Recognition, around which companies like Microsoft have built and deployed entire products (i.e., Alternatively, you could attempt to implement other Grayscaling algorithms like the Lightness and the Average Method. Microsoft OCR).

Coding 40

Coding Python Process Project 40

ProjectPro

FEBRUARY 1, 2022

Predictive Modeling — Explain the machine learning model you trained, how did you finalized your machine learning algorithm, and talk about the evaluation techniques you performed on your accuracy score. Data Visualization — Communicate the findings through visualization and what feedback you received.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

JULY 7, 2021

As a beginner in the data industry, it can be overwhelming to step into AI and deep learning. After taking a deep learning course or two, you might find yourself getting stuck on how to proceed. Is it difficult to build deep learning models? Why build deep learning projects? Text Generator 9.

Deep Learning 40

Deep Learning Project Portfolio Datasets 40

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40