ProjectPro

OCTOBER 28, 2021

The book is available for free for personal use, and you may download it from the above link. Again, this book is free to download, and you can access it using the above link. Python is one of the most popular programming languages among machine learning enthusiasts, so we recommend you start learning as it is simple and open-source.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

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. It contains codes to support the implementation of machine learning algorithms in Python.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

DECEMBER 21, 2021

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. Amongst all the options, Python is the go-to language for machine learning. Also, you will find many Python code snippets available online that will assist you in the same.

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. Both languages are capable of doing similar data science tasks.

Portfolio 52

Portfolio Building Data Mining Data Science 52

Knowledge Hut

FEBRUARY 15, 2023

Here are some most popular data analyst types (based on the industry), Business analyst Healthcare analyst Market research analyst Intelligence analyst Operations research analyst. Most remote data analyst jobs require fulfilling several responsibilities. Mining data includes collecting data from both primary and secondary sources.

Data Cleanse 52

Data Cleanse Entertainment Business Intelligence Recruitment 52

Knowledge Hut

JUNE 4, 2024

Source: python-graph-gallery.com 10. It is useful when there are a lot of data points in the two variables. When you have a lot of data points, they will overlap when represented in a scatter plot. Source: python-graph-gallery.com 11. Programming You should know R or Python language.

Data Science 40

Data Science Datasets Data Machine Learning 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. Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data.

Project 40

Project Deep Learning Datasets Medical 40

ProjectPro

JULY 7, 2021

All you need to do is download the model and train on top of it with the available data. There are many examples of building neural networks to differentiate between cats and dogs so that you can download the source code for this online.If You can build this project using libraries like OpenCV and Keras in Python.

Deep Learning 40

Deep Learning Project Portfolio Recruitment 40

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. Education & Skills Required Bachelor’s or Master’s degree in Computer Science, Data Science , or a related field. Python, Java).

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 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

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

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 Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

OCTOBER 18, 2021

They have a well-researched collection of data such as ratings, reviews, timestamps, price, category information, customer likes, and dislikes. Predictive Analysis: This analysis will utilize data mining, web scraping, and data exploration techniques for better prediction and accurate analysis.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

JULY 23, 2021

Developers and engineers use Python to implement this library, plus creating a suitable front-end for using the framework. François created Keras using Python that runs on top of Theano. Keras got developed from Python itself. It allows fast debugging via Python tools. Modularity is a significant feature of Keras.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

ProjectPro

AUGUST 5, 2021

Pneumonia Detection with Python 8. Sign Language Recognition App with Python 10. Keyword Research using Python How to Launch a Career in AI ? The data is present in the form of text and needs to be pre-processed. You can use the NLTK Python library for this purpose. Python Package: GluonNLP 4.

Project 52

Project Datasets Deep Learning Machine Learning 52

U-Next

SEPTEMBER 19, 2022

Others: R script, Python script, Hadoop File, Web, Spark, OLE DB, ODBC, Active Directory, etc. A visual representation of the data used to achieve one or more objectives. Step 1) Navigate [link] for power BI installation, then click the Free Download option. Power Query includes several tools for wrangling and cleaning data.

BI 40

BI Business Intelligence Datasets Retail 40

ProjectPro

AUGUST 11, 2021

Analysis Layer: The analysis layer supports access to the integrated data to meet its business requirements. The data may be accessed to issue reports or to find any hidden patterns in the data. Data mining may be applied to data to dynamically analyze the information or simulate and analyze hypothetical business scenarios.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. It would then generate a PDF file that can be downloaded by the user. Image Processing by using Python Python is a versatile programming language that can be used for a wide range of applications.

Computer Science 111

Computer Science Coding Project Hospitality 111

ProjectPro

JUNE 24, 2021

Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? A data analytics professional is required to constantly access data, either retrieve data from where it is stored or update it when required.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

JULY 30, 2021

Data Description: The data for this project has three sample images (jpg) and a video (mp4). Invoice Date: The date on which the transaction took place. Unit Price: Price of one product. Customer ID: It identifies the customer. Country: The country where the transaction was performed.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

AUGUST 13, 2021

Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Table of Contents 15 Sample GitHub Machine Learning Projects Python Machine Learning Projects on GitHub 1. You can use the Walmart dataset and use Python to predict sales of their stores.

Machine Learning 40

Machine Learning Project Deep Learning Algorithm 40

ProjectPro

JANUARY 15, 2021

Download Online Retail Dataset for Machine Learning Interesting Machine Learning Project Idea using UK Online Retail Dataset– Perform Market Basket Analysis to identify the association rules between the products. This retail dataset is a perfect choice for any kind of predictive analytics projects.

Machine Learning 40

Machine Learning Datasets Retail Banking 40