Ocean Protocol

FEBRUARY 1, 2024

Challenge Overview Objective : Building upon the insights gained from Exploratory Data Analysis (EDA), participants in this data science competition will venture into hands-on, real-world artificial intelligence (AI) & machine learning (ML). normalization, handling missing values, etc.),

Exploratory Data Analysis 52

Exploratory Data Analysis Data Science Cross Validation Machine Learning 52

DrivenData Labs

APRIL 10, 2024

We take a gap year to participate in AI competitions and projects, and organize and attend events. We look for AI competitions that contribute to the UN SDGs, and have a timeframe of 2~3 months. Combining deep and practical understanding of technology, computer vision and AI with experience in big data architectures.

Deep Learning 130

Deep Learning Deep Learning Machine Learning Machine Learning 130

Pickl AI

FEBRUARY 12, 2024

What is cross-validation, and why is it used in Machine Learning? Cross-validation is a technique used to assess the performance and generalization ability of Machine Learning models. The process is repeated multiple times, with each subset serving as both training and testing data.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

JULY 12, 2024

Introduction Artificial Intelligence (AI) transforms industries by enabling machines to mimic human intelligence. Python’s simplicity, versatility, and extensive library support make it the go-to language for AI development. Python is renowned for its simplicity and versatility, making it an ideal choice for AI applications.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

MARCH 26, 2024

Experimentation and cross-validation help determine the dataset’s optimal ‘K’ value. Distance Metrics Distance metrics measure the similarity between data points in a dataset. Cross-Validation: Employ techniques like k-fold cross-validation to evaluate model performance and prevent overfitting.

K-nearest Neighbors 52

K-nearest Neighbors Machine Learning Machine Learning Algorithm 52

Pickl AI

FEBRUARY 22, 2024

The dedicated Statistics module focussing on Exploratory Data Analysis, Probability Theory, and Inferential Statistics. You will also explore the fundamental principles of Statistics for Data Analytics, covering topics such as random numbers, variables and types, diverse graphical techniques, and various sampling methods.

Data Science 52

Data Science Hypothesis Testing Data Analysis Data Analysis 52

Pickl AI

AUGUST 29, 2023

Data Collection: Based on the question or problem identified, you need to collect data that represents the problem that you are studying. Exploratory Data Analysis: You need to examine the data for understanding the distribution, patterns, outliers and relationships between variables.

Data Scientist 52

Data Scientist Clustering Data Analysis Data Analysis 52

Pickl AI

SEPTEMBER 18, 2024

The process of conducting Regression Analysis typically involves several steps: Step 1: Data Collection: Gather relevant data for both dependent and independent variables. This data can come from various sources such as surveys, experiments, or historical records.

EDA 52

EDA Exploratory Data Analysis Hypothesis Testing Cross Validation 52

Pickl AI

APRIL 26, 2024

Overfitting occurs when a model learns the training data too well, including noise and irrelevant patterns, leading to poor performance on unseen data. Techniques such as cross-validation, regularisation , and feature selection can prevent overfitting. How do you see the role of a data analyst evolving in the future?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Anomaly Detection: Identifying unusual patterns or outliers in data that do not conform to expected behaviour. Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Anirudh Chandra Originally published on Towards AI. That post was dedicated to an exploratory data analysis while this post is geared towards building prediction models.

Machine Learning 40

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 40

Mlearning.ai

JANUARY 29, 2024

After doing all these cleaning steps data looks something like this: Features after cleaning the dataset Exploratory Data Analysis Through the data analysis we are trying to gain a deeper understanding of the values, identify patterns and trends, and visualize the distribution of the information.

Decision Trees 52

Decision Trees Data Science Exploratory Data Analysis Data Analysis 52