ProjectPro

FEBRUARY 19, 2021

Image Source: memegenerator.net So, you would take the humidity level and the previous day’s precipitation to decide today’s level of precipitation level(or the amount of rainfall). Therefore, it is necessary to detect them early on or use algorithms resistant to outliers.

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40

ProjectPro

OCTOBER 12, 2021

Classification is a supervised machine learning problem requiring the model to label or assign a class (from a fixed number of classes) to an example. The familiar problems of classifying email as spam or not spam, predicting the handwritten character, and so on are all examples of machine learning projects on classification.

Machine Learning 52

Machine Learning Project Entertainment Retail 52

Knowledge Hut

OCTOBER 30, 2023

Interactions between people and machines using natural language are the subject of the interdisciplinary field of natural language processing (NLP). This blog tackles a wide range of intriguing NLP project ideas, from easy NLP projects for newcomers to challenging NLP projects for experts that will aid in the development of NLP abilities.

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Coding Project Datasets Machine Learning 52

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.

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ProjectPro

JUNE 22, 2021

This blog will help you master the fundamentals of classification machine learning algorithms with their pros and cons. You will also explore some exciting machine learning project ideas that implement different types of classification algorithms. There are many other possible causes, and let us inspect them one by one.

Machine Learning 72

Machine Learning Algorithm Datasets Project 72

ProjectPro

FEBRUARY 16, 2023

With its easy-to-use interface and robust features, OpenCV has become the favorite of data scientists and computer vision engineers. Whether you’re looking to track objects in a video stream, build a face recognition system, or edit images creatively, OpenCV Python implementation is the go-to choice for the job.

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Python Process Deep Learning Algorithm 98

ProjectPro

JANUARY 31, 2023

Data scientists and machine learning engineers often come across this scenario where the data for their project is not sufficient for training a machine learning model, often resulting in poor performance. However, access to quality data remains a barrier for many real-world machine-learning projects.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

ProjectPro

OCTOBER 26, 2021

Data scientists and machine learning engineers use various machine learning tools and frameworks to build production-ready models. Since there are so many machine learning frameworks and tools available in the market with varied learning curves and user bases, deciding on which machine learning framework to choose for a business use case.

Machine Learning 52

Machine Learning Programming Language Healthcare Deep Learning 52

ProjectPro

NOVEMBER 11, 2021

Learn Python for Computer Vision 2. Computer vision is an interdisciplinary field of artificial intelligence and computer science that converts input from an image or video into a precise representation. You can simply get your hands on a variety of open-source projects available online these days.

Programming Language 52

Programming Language Deep Learning Machine Learning Algorithm 52

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. But yes, there is definitely no other alternative to data science and machine learning projects. Thus, data is the golden goose in machine learning.

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

AUGUST 5, 2021

Every time you scroll through social media, open Spotify, or do a quick Google search, you are using an application of AI. Say , if you are intrigued by facial recognition systems and image generation, you can choose to work in the field of computer vision. Pneumonia Detection with Python 8. Image to Pencil Sketch App 6.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

AUGUST 2, 2021

The human brain is said to process images 60,000 times faster than text. These stats alone are enough to serve the importance images have to humans. Therefore, the domain of image processing, which deals with enhancing images and extracting useful information from them, has been growing exponentially since its inception.

Coding 40

Coding Python Process Project 40

Towards Data Science

MARCH 9, 2023

Filling the missing values, one hot encoding for the categorical features, standardization and scaling for the numeric ones, feature extraction, and model fitting are just some of the stages that take part during a machine learning project before making any predictions.

Machine Learning 79

Machine Learning Building Datasets Scala 79

ProjectPro

APRIL 12, 2021

However, it is always better to start with a simple model like multi-layer perceptron (MLP) that has just one hidden layer unlike CNN, LSTM, or RNN that require configuring the nodes and layers. PCA and autoencoders are used to tackle these issues. Or How will you decide the best neural network model for a given problem?

Deep Learning 40

Deep Learning Datasets Machine Learning Algorithm 40

ProjectPro

AUGUST 17, 2021

Work On Real-World Hands-On Computer Vision Projects Read Some Books on Modern Computer Vision Learn Mathematical Concepts Read Research Papers Experiment with Machine Learning and Deep Learning Models Computer Vision Engineer Salary - How Much do they Earn? It is used widely in medicine, military and defence and manufacturing etc.

Engineering 40

Engineering Deep Learning Algorithm Machine Learning 40

ProjectPro

FEBRUARY 5, 2021

From the visual search for improved product discoverability to face recognition on social networks- image classification is fueling a visual revolution online and has taken the world by storm. Image classification , a subfield of computer vision helps in processing and classifying objects based on trained algorithms.

Datasets 40

Datasets Deep Learning Medical Algorithm 40

ProjectPro

NOVEMBER 16, 2021

The use of AI applications is continuously expanding, and tech enthusiasts must stay up with this fast-changing sector, especially with open source AI projects, to deploy AI driven projects successfully. Table of Contents 10 Best Open Source AI Projects for Beginners on GitHub 1.TensorFlow TensorFlow 2. Detectron2 5.

Project 52

Project Deep Learning Machine Learning Algorithm 52

ProjectPro

OCTOBER 20, 2021

It will explain what an instance of the best-in-class answers would sound like. We will try to use as many visual aids and examples to answer to apply them in multiple scenarios and interviews. Following are some of the popular ways to implement AutoML: Auto-SkLearn : Scikit-learn is a package that every data scientist has used.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

JULY 27, 2021

In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. Relational Databases are a better option if the data requires multi-row transactions to be performed on it since relational databases are table-oriented.

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Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JULY 30, 2021

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. These ML projects cover a broad range of machine learning skills plus they can be reused to suit your business use case.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

JANUARY 17, 2022

Whether it is predicting the behavior of customers, predicting the ad click-through rate of a campaign, or assessing the credit worthiness- classification problems find extensive business applications across industries. Classification is a prevalent supervised task of machine learning. Binary Transformation 2.

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Python Algorithm Datasets Machine Learning 52