ProjectPro

JANUARY 20, 2022

These statistics show that it's a perfect time to pursue a career in machine learning and artificial intelligence. Prerequisites to Learn Machine Learning Machine learning engineers often need a bachelor's degree in computer science, mathematics, statistics, or a related discipline.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

ProjectPro

SEPTEMBER 6, 2021

The machine learning techniques are applicable in enhancing the security of the transactions by detecting the possibilities of fraud in advance. Deep learning solutions using Python or R programming language can predict fraudulent behavior. and customize the content as per the customer's likings and preferences.

Machine Learning 52

Machine Learning Retail Healthcare Algorithm 52

ProjectPro

FEBRUARY 5, 2022

Explore More Data Science and Machine Learning Projects for Practice. Time Series Analysis Project in R on Stock Market forecasting Time series methods are used by stock market traders to predict the stock prices of a specific company by analyzing their previous records.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

Knowledge Hut

JANUARY 19, 2024

Deep Learning Deep Learning takes machine learning to the next level, exploring neural networks and advanced techniques. Within the data science syllabus, delving into deep learning involves understanding complex concepts like convolutional neural networks (CNNs) and recurrent neural networks (RNNs). . "Big

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

FEBRUARY 7, 2023

Pros Easily manageable for deploying any project Good community support Manage libraries, dependencies, and environments with Conda Build and train ML and deep learning models with inbuilt libraries Cons It can be a bit bulky sometimes, slowing down and lagging while you are working on your code, especially when you are on a low-end system.

Data Science 52

Data Science Google Cloud Machine Learning Programming Language 52

ProjectPro

FEBRUARY 6, 2023

The benefits of using the stemming algorithm in an NLP project can be summarised as follows: It reduces the number of words that serve as an input to the Machine Learning/ Deep Learning model. Learn about the significance of R programming language wirh these data science projects in R with source code.

Algorithm 52

Algorithm Programming Language Machine Learning Python 52

AltexSoft

AUGUST 18, 2021

Initially created with R programming language, they were translated to C# to comply with the core platform. As with any other deep learning model, it requires tons of data and a great deal of tuning to work well. As for our case, with the novelty approach, we achieved an average accuracy of of 75 percent.

Algorithm 59

Algorithm Datasets R (Programming) Machine Learning 59

Knowledge Hut

MAY 23, 2024

Since this programming language helps develop mobile, desktop, and web applications along with data science capabilities - many prefer to learn this to leverage both data science and software development capabilities that this tool renders. Professionals and companies widely use it for statistical computing and data analysis.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

ProjectPro

AUGUST 16, 2021

You can scale different variables to draw better conclusions from the data and also learn how to treat outliers in a dataset. Complete Solution: Credit Card Fraud Detection Data Science Project Data Mining Project on Wine Quality Dataset Dataset: For this project, you can use the R programming language.

Data Mining 40

Data Mining Coding Project Datasets 40

ProjectPro

DECEMBER 22, 2016

How to save and reload a deep learning model in Pytorch? How to use auto encoder for unsupervised learning models? Using the Deep Learning Library ‘Datawig’ : Datawig is a library that can learn ML models using Deep Neural Networks to impute missing values into the dataset.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

AUGUST 21, 2015

8) Apart from partitioning and bucketing, what are the other methods you can use for improving performance? 9) Which file format is better Parquet or ORC?

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

FEBRUARY 24, 2016

A data scientist must have in-depth knowledge of technologies used to tame big data and should always be willing to learn the merging ones. It is known that machine learning ( deep learning , NLP , clustering techniques), python programming , and statistics are the must-have skills for data scientists in 2023.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40