Mlearning.ai

FEBRUARY 15, 2024

There are many algorithms which can be used from this task ranging from Logistic regression to Deep learning. This cross-validation results shows without regularization. Decision Tree This will create a predictive model based on simple if-else decisions. Why am I using regularization?

Data Science 52

Data Science Decision Trees Exploratory Data Analysis Cross Validation 52

DagsHub

APRIL 21, 2024

Source: [link] Similarly, while building any machine learning-based product or service, training and evaluating the model on a few real-world samples does not necessarily mean the end of your responsibilities. MLOps tools play a pivotal role in every stage of the machine learning lifecycle. What is MLOps?

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Mlearning.ai

MAY 23, 2023

An interdisciplinary field that constitutes various scientific processes, algorithms, tools, and machine learning techniques working to help find common patterns and gather sensible insights from the given raw input data using statistical and mathematical analysis is called Data Science. Decision trees are more prone to overfitting.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Pickl AI

MAY 24, 2023

This may include for instance in Machine Learning, Data Science, Data Visualisation, image and Data Manipulation. As the collection of Python libraries are huge, you might be faced with the need to make difficult decision on which library to choose from. What to consider when choosing a Python Library?

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 2, 2023

A cheat sheet for Data Scientists is a concise reference guide, summarizing key concepts, formulas, and best practices in Data Analysis, statistics, and Machine Learning. It serves as a handy quick-reference tool to assist data professionals in their work, aiding in data interpretation, modeling , and decision-making processes.

Data Scientist 52

Data Scientist Data Science Data Visualization Machine Learning 52

Pickl AI

APRIL 26, 2024

It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques. Statistical Analysis: Learn the Central Limit Theorem, correlation, and basic calculations like mean, median, and mode. The median is the middle value in a sorted list of numbers.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

PyImageSearch

JANUARY 23, 2023

The reasoning behind that is simple; whatever we have learned till now, be it adaptive boosting, decision trees, or gradient boosting, have very distinct statistical foundations which require you to get your hands dirty with the math behind them. The goal is to nullify the abstraction created by packages as much as possible.

Deep Learning 107

Deep Learning Deep Learning Algorithm Decision Trees 107

Heartbeat

MAY 29, 2023

We will also discuss best practices for training LLMs, such as using transfer learning, data augmentation, and ensembling methods. LLMs use a combination of machine learning and human input; image from OpenAI Data preparation and preprocessing The first, and perhaps most crucial, step in LLM training is data preparation.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78