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

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. These machine learning projects for students will also help them understand the applications of machine learning across industries and give them an edge in getting hired at one of the top tech companies.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

JUNE 24, 2021

Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? 10+ Real-Time Azure Project Ideas for Beginners to Practice Access Job Recommendation System Project with Source Code Why Should Students Work on Big Data Analytics Projects ?

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

U-Next

AUGUST 16, 2022

This popularity is sometimes credited to its excellent efficiency compared to other popular computer programs, including its English-like grammar and instructions, making it simple to learn and use, including for beginners in code. Clear and understandable code: Python gives simple and consistent code.

Deep Learning 52

Deep Learning Python Programming Language Machine Learning 52

ProjectPro

AUGUST 5, 2021

There are a variety of AI projects you can do to gain a grasp of these libraries. If you are looking to break into AI and don’t have a professional qualification, the best way to land a job is to showcase some interesting artificial intelligence projects on your portfolio or show your contributions to open-source AI projects.

Project 52

Project Datasets Deep Learning Machine Learning 52

DataKitchen

OCTOBER 11, 2021

A DataOps implementation project consists of three steps. First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. In DataOps, the definition of done includes more than just some working code. A DataOps project begins with a list of challenges.

Engineering 60

Engineering BI Business Analyst Metadata 60

ProjectPro

OCTOBER 28, 2021

List of Prerequisites for Machine Learning Basic Mathematical Prerequisites for Machine Learning Linear Algebra Prerequisites for Machine Learning Is Coding required for Machine Learning? These include Handwriting Recognition System , Credit Card Fraud Detection System , Sales Forecasting Project , Stocks Price Prediction , etc.

Machine Learning 52

Machine Learning Programming Language Datasets Python 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

DECEMBER 7, 2021

Consider these free data analyst portfolio platforms if you're just getting started: Github : GitHub, an open-source community of 56 million developers, is one such popular choice for hosting your portfolio for free. You can include projects in your Featured, Experience, or Education categories on LinkedIn.

Portfolio 52

Portfolio Building Data Mining Data Analysis 52

ProjectPro

DECEMBER 21, 2021

These include the skills needed for a machine learning career, a few machine learning projects for practice to develop those skills, and a clear grasp of the different types of machine learning careers available. Also, you will find many Python code snippets available online that will assist you in the same.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

MARCH 22, 2024

Rising Demand: Recent industry reports state that the adoption of MongoDB has been increasing, and the database has attracted over 40 million download users from thousands of organizations. Experience with infrastructure-as-code tools (e.g., Build Projects: Develop real-life projects with MongoDB to demonstrate your expertise.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

ProjectPro

JUNE 18, 2021

Python was initially invented as a hobby project by its inventor, Guido Van Rossum, and has become one of the most popular data science programming languages in use today. Python was made as a hobby project but Java was created by accident. Java for Data Science - Should data scientists learn Java? renamed to Java.

Java 52

Java Data Science Python Programming Language 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

DECEMBER 22, 2016

If you are planning to appear for a data analyst job interview, these interview questions for data analysts will help you land a top gig as a data analyst at one of the top tech companies. We have collected a library of solved Data Science use-case code examples that you can find here. 5) What is data cleansing?

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

JULY 23, 2021

Get Closer To Your Dream of Becoming a Data Scientist with 70+ Solved End-to-End ML Projects Key Features of Keras Keras is an API-based tool that is way more Pythonic. It helps in the rapid experimentation of projects that offer fast market-ready projects. It has fewer projects available online than that of TensorFlow.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

U-Next

SEPTEMBER 19, 2022

Analytics is concerned with the discovery, interpretation, and processing of data. However, data and Business Analysts have many tools to select, and determining the ideal option for a particular project can be difficult. Step 1) Navigate [link] for power BI installation, then click the Free Download option. Concatenate.

BI 40

BI Business Intelligence Datasets Retail 40

ProjectPro

AUGUST 11, 2021

Metadata contains information such as the source of data, how to access the data, users who may require the data and information about the data mart schema. Analysis Layer: The analysis layer supports access to the integrated data to meet its business requirements.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52