ProjectPro

OCTOBER 16, 2021

It contains codes to support the implementation of machine learning algorithms in Python. Additionally, Scikit-Learn offers different metrics to test the efficiency of different algorithms. When using deep learning algorithms , most people believe that they need highly advanced and expensive computer systems.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

Knowledge Hut

JANUARY 22, 2024

Data science is a field of study that combines industry expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data scientists apply machine learning algorithms to numbers, text, images, video, audio, and more to create artificial intelligence (AI) systems.

Data Science 52

Data Science Banking Big Data Insurance 52

ProjectPro

OCTOBER 28, 2021

Those functions have been optimised already, so you don’t need to go in depth of the algorithms. However, if you are curious about how they are optimised, we recommend you go through the book mentioned below. Book Recommendation : Mathematics for Machine Learning by Marc Peter Deisenroth, A.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

DECEMBER 10, 2021

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Strong understanding of statistical techniques used to quantify the results of NLP algorithms. Past experience with utilizing NLP algorithms is considered an added advantage. Design NLP-based applications to solve customer needs.

Coding 52

Coding Project Deep Learning Algorithm 52

AltexSoft

JULY 27, 2021

These days, the true power of customer experience personalization can be realized with the help of machine learning. By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. Source: Goodreads.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Databand.ai

DECEMBER 20, 2022

In his role at LendingTree, he works closely with the data engineering team, synthesizes findings from data to provide actionable recommendations, and works with tree-based algorithms. Eric is certified in Lean Six Sigma and experienced in Python, SQL, and machine learning.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

ProjectPro

JULY 30, 2021

With so many companies gradually diverting to machine learning methods , it is important for data scientists to explore MLOps projects and upgrade their skills. In this project, you will work on Google’s Cloud Platform (GCP) to build an Image segmentation system using Mask RCNN deep learning algorithm.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

AUGUST 5, 2021

Candidates are aware of the keyword matching algorithm, and many of them insert as many keywords as possible into their resumes to get shortlisted by the company. The data is present in the form of text and needs to be pre-processed. Another approach you can take is the use of a distance-based algorithm like cosine similarity.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

JANUARY 15, 2021

For a machine learning model to perform different actions, two kinds of datasets are required – Training Dataset - The data that is fed into the machine learning algorithm for training. Why you need machine learning datasets? Machine learning algorithms learn from data.

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

AUGUST 24, 2021

Source Code: Real-World Data Engineering Project on COVID-19 Data 10) Movielens Data Analysis for Recommendations Recommender System is a system that seeks to predict or filter preferences according to the user's choices. Demonstrated ability to utilize popular big data tools such Apache Hadoop , Apache Spark , etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52