Towards AI

NOVEMBER 4, 2024

Predicting the elections, however, presents challenges unique to it, such as the dynamic nature of voter preferences, non-linear interactions, and latent biases in the data. The points to cover in this article are as follows: Generating synthetic data to illustrate ML modelling for election outcomes.

Machine Learning 118

Machine Learning Machine Learning Exploratory Data Analysis EDA 118

Towards AI

JUNE 25, 2024

🤪 If you are like me, needing to write in multiple data-wrangling packages, including pySpark, and want to make life easier, this article is just for you! This practice vastly enhances the speed of my data preparation for machine learning projects. within each project folder. Let’s get started.

ML 75

ML ML EDA Data Wrangling 75

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. Data Preparation — Collect data, Understand features 2.

Cross Validation 98

Cross Validation Clustering EDA Data Preparation 98

Towards AI

AUGUST 16, 2023

In general, the results of current journal articles on AI (even peer-reviewed) are irreproducible. Data preparation: This step includes the following tasks: data preprocessing, data cleaning, and exploratory data analysis (EDA). 85% or more of AI projects fail [1][2].

AI 96

AI AI Machine Learning Machine Learning 96

Dataconomy

AUGUST 16, 2023

” The answer: they craft predictive models that illuminate the future ( Image credit ) Data collection and cleaning : Data scientists kick off their journey by embarking on a digital excavation, unearthing raw data from the digital landscape. The magic of “What does a data scientist do?”

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172

Pickl AI

MAY 30, 2024

Quality data is foundational for accurate analysis, ensuring businesses stay competitive in the digital landscape. Data Science and Data Analysis play pivotal roles in today’s digital landscape. This article will explore these cycles, from data acquisition to deployment and monitoring.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Becoming Human

MAY 15, 2023

You have to learn only those parts of technology that are useful in data science as well as help you land a job. Don’t worry; you have landed at the right place; in this article, I will give you a crystal clear roadmap to learning data science. Because this is the only effective way to learn Data Analysis.

Data Science 75

Data Science Machine Learning Machine Learning Database 75