ProjectPro

DECEMBER 21, 2021

This includes knowledge of data structures (such as stack, queue, tree, etc.), A Machine Learning professional needs to have a solid grasp on at least one programming language such as Python, C/C++, R, Java, Spark, Hadoop, etc. A data engineer's average annual pay in the United States is $116,950, with a $5,000 cash bonus.

Machine Learning 52

Machine Learning Engineering Algorithm Data Science 52

ProjectPro

DECEMBER 7, 2021

You'll be best able to: 1) detect patterns in data 2) avoid distortions, inconsistencies, and logical errors in your assessment, 3) produce accurate and consistent outcomes if you have a solid base in probability and statistics. The Apriori and Fp Growth data mining techniques can be used to do client market basket analysis.

Portfolio 52

Portfolio Building Data Mining Data Analysis 52

ProjectPro

AUGUST 13, 2021

Is it valuable to post your Machine Learning projects on Github if you want to get into an ML PhD program? Is there any other site like GitHub to download machine learning projects and the instructions for setting it up? GitHub supports all the programming languages like R , Python, Scala, etc.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

OCTOBER 16, 2021

Hands-On Machine Learning with Scikit-learn and TensorFlow: The Introduction Scikit-learn is the go-to machine learning library for Data Scientists who work with Python programming language. That can be considered a first step, but you need to put more effort into ace those demanding data science and machine learning interviews.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

DECEMBER 22, 2016

If you are aspiring to be a data analyst then the core competencies that you should be familiar with are distributed computing frameworks like Hadoop and Spark, knowledge of programming languages like Python, R , SAS, data munging, data visualization, math , statistics , and machine learning.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

JUNE 26, 2021

Strong ability to code in programming languages like R/Python/Matlab. Deep understanding of Data Structures and algorithms. Computer Vision Project Idea -1 Cartoonize an Image We all would have at least once downloaded an app that has creative filters and can transform our ordinary images into something more artsy and beautiful.

Project 40

Project Deep Learning Datasets Medical 40

ProjectPro

AUGUST 24, 2021

Create a service account on GCP and download Google Cloud SDK(Software developer kit). Then, Python software and all other dependencies are downloaded and connected to the GCP account for other processes. Before the final recommendation is made, a complex data pipeline brings data from many sources to the recommendation engine.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

MAY 23, 2015

“Our ability to pull data together is unmatched”- said Walmart CEO Bill Simon. Walmart uses data mining to discover patterns in point of sales data. Effective data mining at Walmart has increased its conversion rate of customers. 3) Write the code to reverse a linked list data structure.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

AUGUST 5, 2021

You can download the ResNet50 pre-trained model from FastAI and train on top of this model to build the classifier. Everything else requires you to have model deployment skills, the ability to render information quickly to the user, and a firm grasp of data science programming languages.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

JUNE 24, 2021

Even data that has to be filtered, will have to be stored in an updated location. Programming languages like R and Python: Python and R are two of the most popular analytics programming languages used for data analytics. Python provides several frameworks such as NumPy and SciPy for data analytics.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

Knowledge Hut

JUNE 28, 2023

Hard Skills: In order to become a business intelligence analyst, you have to gain proficiency in data architecture, data mining, data warehousing, data modeling, data visualization, and data analysis techniques and software, along with programming languages such as Python, SQL, R, and others.

Business Intelligence 52

Business Intelligence Portfolio BI Business Analyst 52