Pickl AI

JUNE 7, 2023

Face Recognition One of the most effective Github Projects on Data Science is a Face Recognition project that makes use of Deep Learning and Histogram of Oriented Gradients (HOG) algorithm. You can make use of HOG algorithm for orientation gradients and use Python library for creating and viewing HOG representations.

Data Science 52

Data Science Deep Learning Deep Learning Clustering 52

Towards AI

JULY 19, 2023

This is part 2, and you will learn how to do sales prediction using Time Series. 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.

Cross Validation 94

Cross Validation Clustering EDA Data Preparation 94

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. These models may include regression, classification, clustering, and more.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

FEBRUARY 12, 2024

Technical Proficiency Data Science interviews typically evaluate candidates on a myriad of technical skills spanning programming languages, statistical analysis, Machine Learning algorithms, and data manipulation techniques. Clustering algorithms such as K-means and hierarchical clustering are examples of unsupervised learning techniques.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

JULY 20, 2023

Following is a guide that can help you understand the types of projects and the projects involved with Python and Business Analytics. Here are some project ideas suitable for students interested in big data analytics with Python: 1. Movie Recommendation System: Use Python and collaborative filtering techniques (e.g., ImageNet).

Analytics 40

Analytics Analytics Big Data Big Data 40

Heartbeat

SEPTEMBER 28, 2023

Import Libraries First, import the required Python libraries, such as Comet ML, Optuna, and scikit-learn. Load and Explore Data We load the Telco Customer Churn dataset and perform exploratory data analysis (EDA). Are there clusters of customers with different spending patterns? #3.

Support Vector Machines 52

Support Vector Machines Machine Learning Machine Learning ML 52

Heartbeat

JANUARY 25, 2023

Build and deploy your own sentiment classification app using Python and Streamlit Source:Author Nowadays, working on tabular data is not the only thing in Machine Learning (ML). In this article, you will learn about what sentiment analysis is and how you can build and deploy a sentiment analysis system in Python.

Python 52

Python Deep Learning Deep Learning ML 52