DrivenData Labs

MARCH 28, 2023

Team Just4Fun ¶ Qixun Qu Hongwei Fan Place: 2nd Place Prize: $2,000 Hometown: Chengdu, Sichuan, China (Qixun Qu) and Nanjing Jiangsu, China (Hongwei Fan) Username: qqggg , HongweiFan Background: I (qqggg, Qixun Qu in real name) am a vision algorithm developer and focus on image and signal analysis. My name is Kaveh Faraji. I am a Ph.D.

Machine Learning 130

Machine Learning Machine Learning Cross Validation Deep Learning 130

Pickl AI

SEPTEMBER 12, 2024

A Algorithm: A set of rules or instructions for solving a problem or performing a task, often used in data processing and analysis. Cross-Validation: A model evaluation technique that assesses how well a model will generalise to an independent dataset.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Ocean Protocol

AUGUST 9, 2024

Luca’s visualizations showed significant revenue declines during major reforms and economic events. He used the Prophet model and conducted thorough cross-validation, achieving mean squared error (MSE) values as low as 0.0007 for short-term forecasts. for labor unions.

AI 45

AI AI Cross Validation Data Scientist 45

DrivenData Labs

APRIL 10, 2024

In the Kelp Wanted challenge, participants were called upon to develop algorithms to help map and monitor kelp forests. Winning algorithms will not only advance scientific understanding, but also equip kelp forest managers and policymakers with vital tools to safeguard these vulnerable and vital ecosystems. My name is Kaveh Faraji.

Deep Learning 130

Deep Learning Deep Learning Machine Learning Machine Learning 130

Heartbeat

MARCH 27, 2023

So I will pick the MLPClassifier algorithm for the next model. So we will write our code as follows: #our new better performing algorithm model1 = MLPClassifier(max_iter=1000, random_state = 0) #fitting model model1.fit(X, Have you tried Comet? fit(X, y) #exporting model to desired location dump(model1, "model1.joblib")

Machine Learning 52

Machine Learning Machine Learning Algorithm ML 52

Heartbeat

DECEMBER 19, 2023

Selection of Recommender System Algorithms: When selecting recommender system algorithms for comparative study, it's crucial to incorporate various methods encompassing different recommendation approaches. This diversity ensures a comprehensive understanding of each algorithm's performance under various scenarios.

Deep Learning 52

Deep Learning Deep Learning Algorithm Cross Validation 52

Pickl AI

AUGUST 9, 2024

Students should understand the concepts of event-driven architecture and stream processing. Machine Learning Algorithms Basic understanding of Machine Learning concepts and algorithm s, including supervised and unsupervised learning techniques. Finance Applications in fraud detection, risk assessment, and algorithmic trading.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

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. What is Data Science?

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Pickl AI

OCTOBER 15, 2024

They identify patterns in existing data and use them to predict unknown events. Popular clustering algorithms include k-means and hierarchical clustering. Model Validation Model validation is a critical step to evaluate the model’s performance on unseen data.

Decision Trees 52

Decision Trees Hypothesis Testing Clustering Data Analysis 52

The MLOps Blog

DECEMBER 7, 2022

Given that the whole theory of machine learning assumes today will behave at least somewhat like yesterday, what can algorithms and models do for you in such a chaotic context ? This is a relatively straightforward process that handles training with cross-validation, optimization, and, later on, full dataset training.

ML 52

ML ML AWS ETL 52

Heartbeat

MAY 29, 2023

BERT model architecture; image from TDS Hyperparameter tuning Hyperparameter tuning is the process of selecting the optimal hyperparameters for a machine learning algorithm. Use a representative and diverse validation dataset to ensure that the model is not overfitting to the training data.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

Dataconomy

SEPTEMBER 1, 2023

The time has come for us to treat ML and AI algorithms as more than simple trends. Hybrid machine learning techniques can help with effective heart disease prediction by combining the strengths of different machine learning algorithms and utilizing them in a way that maximizes their predictive power.

Decision Trees 195

Decision Trees Machine Learning Machine Learning Support Vector Machines 195

DrivenData Labs

JANUARY 11, 2023

As with any research dataset like this one, initial algorithms may pick up on correlations that are incidental to the task. The first architecture is based on 1D CNN-Transformer where each sample is transformed into a sequence of 1D arrays before feeding into a 1D Event Detection network.

Deep Learning 130

Deep Learning Deep Learning Data Science Machine Learning 130

Mlearning.ai

JANUARY 29, 2024

After reading this post, you’ll have a solid understanding of the core decision tree algorithm and how to effectively leverage it for multi class classification problems. According to the CDC more than 1 million individuals visit emergency departments for adverse drug events each year in the United States.

Decision Trees 52

Decision Trees Data Science Exploratory Data Analysis Data Analysis 52

AWS Machine Learning Blog

MAY 24, 2023

Third-party validation We integrate the solution with third-party providers (via API) to validate the extracted information from the documents, such as personal and employment information. You can use the prediction to trigger business rules in relation to underwriting decisions.

AWS 82

AWS ML ML AI 82