ProjectPro

FEBRUARY 4, 2022

From sending letters in physical mailboxes to direct messages through your favorite social media application, the explosion of text has been astronomical. The innovation and development of mobile devices and computers helped push this increase, and this geometric growth has called for innovative ways to understand and process text.

Algorithm 52

Algorithm Banking Architecture Project 52

ProjectPro

OCTOBER 6, 2021

This blog is a step-by-step guide for a beginner in NLP. If you are someone who wants to know what is the best way to learn NLP from scratch, then please go through our blog till the end. We assure you will build the confidence and gear up yourself to make a career transition into data science as an NLP Engineer. A computer!

Deep Learning 52

Deep Learning Programming Language Machine Learning Algorithm 52

ProjectPro

NOVEMBER 17, 2021

With cut-throat competition in the NLP and ML industry for high-paying jobs, a boring cookie-cutter resume might not just be enough. Instead, working on a sentiment analysis project with real datasets will help you stand out in job applications and improve your chances of receiving a call back from your dream company.

Coding 52

Coding Project Entertainment Datasets 52

ProjectPro

AUGUST 13, 2021

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Classification System 4. Face Detection Kaggle Machine Learning Projects on GitHub 1.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. In the world of Supervised Machine Learning, the models train using the samples of “labelled” datasets. What is Data Labeling for Machine Learning? How Does Data Labeling Work?

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

ProjectPro

MARCH 19, 2021

Natural language processing is a subfield of artificial intelligence that aims at making machines understand natural languages just like humans do. The power of NLP techniques dates back to the 1950’s Turing Test ( also known as the Imitation Game ), a test to determine if a machine can be considered intelligent.“

Datasets 40

Datasets Python Machine Learning Algorithm 40

Knowledge Hut

DECEMBER 21, 2023

It supports and functions with all types of data, including text, image, video, audio, etc. Deep learning technology helps computers read and process data like a human brain. They perform various data engineering duties at different phases of the project development. are extensively used in deep learning 3.

Deep Learning 52

Deep Learning Programming Language Recruitment Java 52

ProjectPro

JULY 2, 2021

Here is a list of NLP research engineer interview questions with answers that will help you ace all kinds of NLP Interview Questions. The interview questions in NLP have been divided into subgroups for your convenience. The Google Translate app is an excellent example of Natural Language Processing (NLP) applications.

Algorithm 40

Algorithm Machine Learning Recruitment Banking 40

ProjectPro

JUNE 26, 2021

Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth. Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth.

Project 40

Project Deep Learning Datasets Medical 40

ProjectPro

JULY 26, 2021

Currently, TensorFlow has a market share of 3.56%, with more than 1910 companies already using it. why knowledge of TensorFlow is so valuable let us get started with a few cool TensorFlow projects idea that. Detecting Spam using TensorFlow 2. Image Classification with TensorFlow 3. Sudoku Solver using TensorFlow 4.

Project 40

Project Deep Learning Medical Datasets 40

ProjectPro

DECEMBER 17, 2021

Beginners can use such challenges to realise how industries implement data science to solve practical problems while professionals can work on such challenges to upskill. One way to help the investors is to give them a fair idea of the risks involved by predicting the returns using machine learning.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

JULY 19, 2021

With the advent of use cases like autonomous driving and gesture recognition Computer Vision is becoming increasingly popular. We can use convolution operation, which is the basis of convolutional neural networks, in order to address this challenge. But how do you prepare for a computer vision engineer job interview?

Engineering 40

Engineering Deep Learning Algorithm Machine Learning 40

Knowledge Hut

OCTOBER 30, 2023

Natural Language Processing or NLP is a part of Machine Learning focusing on spoken language with loads of data. Interactions between people and machines using natural language are the subject of the interdisciplinary field of natural language processing (NLP). What are Natural Language Processing Projects?

Coding 52

Coding Project Datasets Machine Learning 52

Knowledge Hut

DECEMBER 26, 2023

In today’s AI-driven world, Data Science has been imprinting its tremendous impact, especially with the help of the Python programming language. Owing to its simple syntax and ease of use, Python for Data Science is the go-to option for both freshers and working professionals.

Data Science 92

Data Science Python Programming Language Portfolio 92

ProjectPro

JANUARY 20, 2022

Machine learning, a subdomain of artificial intelligence, uses algorithms and data to imitate how humans learn and steadily improve. It finds insights in data using approaches from neural networks, statistics, operations research, etc., Have you ever used Pinterest and wondered how it manages to deliver relatable content consistently?

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 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.

Portfolio 52

Portfolio Project Datasets Algorithm 52

ProjectPro

AUGUST 16, 2021

All you need to do is highlight different types of machine learning projects on your resume. Table of Contents Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning Projects for Resume - The Different Types to Have on Your CV 1. Machine Learning Projects on Classification 2.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

JANUARY 13, 2022

An average individual uses Google Search more than three times a day. Google uses featured snippets to display an article's summary to respond to users’ queries. There’s one common aspect in both these cases, and that is what you will learn about in this article: Automatic Text Summarization.

Python 52

Python Algorithm Deep Learning Data Science 52

Knowledge Hut

FEBRUARY 1, 2024

Data cleaning is the process of identifying and fixing incorrect data. The data cleaning and validation steps undertaken for any data science project are implemented using a data pipeline. In this article, we will look at eight common steps in the data cleaning process, as mentioned below. Next comes the row-level checks.

Data Science 52

Data Science Process Data Cleanse Datasets 52

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. Let us explore that!

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

ProjectPro

AUGUST 9, 2021

Table of Contents Why Learn Python for Data Science? Top 20 Python Projects for Data Science Getting Started with Python for Data Science FAQs about data science projects Why Learn Python for Data Science? Python has come to command a celebrity status in data science over the years.

Data Science 52

Data Science Python Project Datasets 52

AltexSoft

MAY 30, 2022

So, it makes sense that more and more companies are looking for a way to implement conversational artificial intelligence (AI) technology to streamline these processes. Simply put, it is an AI you can talk to via text or voice. Text and voice-enabled conversational bots. A common bot response to an unforeseen scenario.

Banking 52

Banking Machine Learning Deep Learning Insurance 52

ProjectPro

NOVEMBER 18, 2021

We have developed ten exciting data science case studies to explain how data science is leveraged across various industries to make smarter decisions and develop innovative personalized products tailored to specific customers. Walmart Sales Forecasting Project uses historical sales data for 45 Walmart stores located in different regions.

Data Science 52

Data Science Project Food Pharmaceutical 52

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

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. If you’d like to build models that can converse with people and learn human language, you can work in the field of NLP (Natural Language Processing). Pneumonia Detection with Python 8.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

JANUARY 22, 2022

Generalizing BERT (due to the bidirectional encoder) and GPT2 (with the left to right decoder) - Enter the World of a Mysterious new Seq2Seq Model - BART Models Table of Contents What is the BART HuggingFace Transformer Model in NLP? What is BART Model used for? What is BART Model used for? What Data was BART Model Trained on?

Datasets 52

Datasets BI Architecture SQL 52

ProjectPro

OCTOBER 20, 2021

The value of a company lies solely in the interview process. 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

OCTOBER 16, 2021

Table of Contents Hands-on Machine Learning with Scikit-learn and TensorFlow: The Introduction Hands-on Machine Learning with Scikit-learn and TensorFlow - Machine Learning Projects to Practice Scikit-Learn Projects TensorFlow Projects Bonus Machine Learning Projects!

Machine Learning 52

Machine Learning Deep Learning Datasets 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 2, 2021

Humans, the truly visual beings we are, respond to and process visual data better than any other data type. The human brain is said to process images 60,000 times faster than text. This process has developed and augmented popular platforms and libraries like MATLAB, scikit-image, and OpenCV.

Coding 40

Coding Python Process Project 40

ProjectPro

DECEMBER 14, 2021

Check out these Power BI projects that will blow your mind with Power BI’s interactive dashboards, exceptional graphs and charts, and many more features. We will look at some intriguing sample Power BI projects in this blog to help you better understand the role of Power BI in Data Science and how it can help businesses thrive.

BI 52

BI Project Business Intelligence Datasets 52

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

JULY 9, 2021

With the help of natural language processing (NLP) tools, it has led to the development of exciting artificial intelligence applications like language recognition, autonomous vehicles, and computer vision robots, to name a few. In that case, this article is for you. Let’s understand this with an example.

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

ProjectPro

APRIL 12, 2021

The curse of dimensionality (the problems that arise when working with high-dimensional data) is a common problem when working on machine learning or deep learning projects. 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

JUNE 24, 2021

More and more industries are now realising the importance of making use of data analytics and using the data available to them for their benefit. The amount of data to be processed is only expected to grow and larger amounts of data implies that more people will be required to handle processing of this data.

Data Analytics 40

Data Analytics Project Insurance 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

AltexSoft

DECEMBER 15, 2021

Automated machine learning or AutoML is the process of reducing manual work in the machine learning pipeline with the help of special software tools. Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. AutoML use cases.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59