Analytics Vidhya

JULY 8, 2023

Nirmal, a visionary in the realm of data science, who has risen to become a driving […] The post The Success Story of Microsoft’s Senior Data Scientist appeared first on Analytics Vidhya.

Data Scientist 291

Data Scientist Data Science Analytics Analytics 291

Ocean Protocol

SEPTEMBER 29, 2023

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. In the link above, you will find great detail in data visualization, script explanation, use of neural networks, and several different iterations of predictive analytics for each category of NFL player.

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

Towards AI

JULY 19, 2023

Please refer to Part 1– to understand what is Sales Prediction/Forecasting, the Basic concepts of Time series modeling, and EDA I’m working on Part 3 where I will be implementing Deep Learning and Part 4 where I will be implementing a supervised ML model. This is part 2, and you will learn how to do sales prediction using Time Series.

Cross Validation 98

Cross Validation Clustering EDA Data Preparation 98

DrivenData Labs

APRIL 10, 2024

As an ML Engineer with a focus on geospatial analytics and deep learning, I am always on the lookout for challenges that push the boundaries of what's possible with AI in the realm of Earth observation and environmental monitoring.

Deep Learning 130

Deep Learning Deep Learning Machine Learning Machine Learning 130

Pickl AI

DECEMBER 16, 2024

Summary: AI in Time Series Forecasting revolutionizes predictive analytics by leveraging advanced algorithms to identify patterns and trends in temporal data. This is due to the growing adoption of AI technologies for predictive analytics. In 2024, the global Time Series Forecasting market was valued at approximately USD 214.6

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JULY 12, 2024

Exploratory Data Analysis (EDA) EDA is a crucial preliminary step in understanding the characteristics of the dataset. EDA guides subsequent preprocessing steps and informs the selection of appropriate AI algorithms based on data insights. Feature Engineering : Creating or transforming new features to enhance model performance.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

SEPTEMBER 18, 2024

Step 2: Exploratory Data Analysis (EDA): Before running Regression Analysis, it’s essential to perform EDA to visualise data distributions and identify any outliers or patterns that may influence results. 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