Home AI Courses Machine Learning with Python

Machine Learning with Python

(0 reviews)

Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.

Key AI Functions:Machine Learning,regression,Hierarchical Clustering,classification,SciPy and scikit-learn

Description

Reviews

Alternative Tools

Description for Machine Learning with Python

Describe the different varieties of machine learning algorithms and the appropriate time to employ them.

Contrast and contrast linear classification methods, such as logistic regression, support vector machines, and multiclass prediction.

Write Python code that implements a variety of classification techniques, such as decision trees, regression trees, and K-nearest neighbors (KNN).

Evaluate the outcomes of simple linear, non-linear, and multiple regression on a data set by employing evaluation metrics.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by IBM

Duration: 10 hours (approximately)

Schedule: Flexible

Reviews for Machine Learning with Python

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

ML in Supply Chains Specialization

Bootcamp: Gen AI, LLM Apps, AI Agents, Cursor AI

DeepLearning.AI TensorFlow Developer Professional Certificate

Gen AI in Legal Services Primer

Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization

Alternative Tools for Machine Learning with Python

Akkio

Paid

The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

#research #marketing

Expense Sorted

Freemium

Expense Sorted employs AI to automate expense categorization, integrates securely with Google Sheets, offers a streamlined user interface, customizable categories, and manual adjustment options, making it a valuable tool for efficient budget management.

#finance #life assistant

Gen AI Assisting Data Scientists

Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

#Artificial Intelligence (AI) #Data Science

GenAI An Introductory Course

Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

#Artificial Intelligence (AI) #Python Programming

ML on Google Cloud

Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

#Tensorflow #Machine Learning

Gen AI in Marketing Specialization

Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

#Generative AI #Large Language Models

Gen AI - Art of the Possible An Intro

Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.

#Generative AI #Amazon Web Services

Retrieval Augmented Generation (RAG) - Intro

Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.

#Python Programming #Machine Learning

Deep Learning for Computer Vision Specialization

Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.

#Anomaly Detection #Artificial Intelligence (AI)

Vertex AI - An Introduction

The "Introduction to Vertex AI" course provides a four-hour, practical, and fundamental overview of Vertex AI, ideal for professionals and enthusiasts aiming to leverage AI effectively.

#Critical Thinking #MLOps (Machine Learning Operations)