Data Science Dojo

MAY 1, 2023

NumPy NumPy is a fundamental package for scientific computing in Python. Pandas Pandas is a powerful data manipulation library for Python that provides fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data easy and intuitive.

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Python Machine Learning Machine Learning Data Science 195

Data Science Dojo

APRIL 27, 2023

Link to the repository:  [link]   Pandas:  A Python library for data manipulation and analysis. This blog lists down-trending data science, analytics, and engineering GitHub repositories that can help you with learning data science to build your own portfolio.  What is GitHub? Want to get started with data science?

Data Science 195

Data Science Analytics Analytics Power BI 195

How to Learn Machine Learning

DECEMBER 11, 2022

In this article we will provide a brief introduction to Pandas, one of the most famous Python libraries for Data Science and Machine learning. Introduction to Pandas – The fundamentals Pandas is a popular and powerful open-source data analysis and manipulation library for the Python programming language.

Machine Learning 52

Machine Learning Machine Learning Data Analysis Data Analysis 52

Mlearning.ai

JULY 22, 2023

Photo by Media Studio Hong Kong on Unsplash Introduction As a Data Science practitioner, I often end up dealing with large datasets and need to run large model training experiments. n_samples = 1000000 n_features = 100 n_clusters = 8 random_state = 0 Create sample data and copy the data from GPU to CPU numpy arrays. git clone [link]

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Machine Learning Machine Learning Clustering Data Science 52

Towards AI

FEBRUARY 26, 2024

Introduction Project Objectives or Goals Dataset features Description Summary of the Approach 2. Keeping a horse healthy is like maintaining a prized possession; it’s the key to enjoying countless joyful moments together. Table of Contents 1. id’: Unique identifier for each horse. temp of extremities’: Temperature of the horse’s extremities.

Machine Learning 94

Machine Learning Machine Learning Exploratory Data Analysis Data Analysis 94

Mlearning.ai

AUGUST 3, 2023

Introduction Prepare to be transported into a captivating world where cutting-edge AI, Python programming, and a thrilling sci-fi narrative converge. They use numpy’s capabilities to generate random values for gadget features like gadget_1, gadget_2, and gadget_3, which represent unique characteristics of the devices.

AI 52

AI AI Python Data Visualization 52

Pickl AI

MAY 24, 2023

Introduction One of the most widely used and highly popular programming languages in the technological world is Python. The programming language has replaced some of the most effective programming languages industries have had in the past. Accordingly, if libraries play its own significant roles in order to enhance business operations.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Towards AI

APRIL 29, 2024

Image generated by ChatGPT Introduction to CDFs Cumulative Distribution Functions (CDF) are functions that represent the probability of a random variable X that takes on a value less than or equal to a specific value x. It’s the cumulative probability associated with a distribution. Primarily for simplicity and illustrative purposes.

Data Science 90

Data Science AI AI Data Analysis 90

ODSC - Open Data Science

MARCH 13, 2023

Matt Harrison Python & Data Science Corporate Trainer, Consultant | MetaSnake Session Title: Machine Learning with XGBoost Session Title: Idiomatic Pandas With over 20 years of experience with Python, Matt Harrison has a wealth of experience and knowledge that he has shared at conferences like Strata, SCALE, PyCon, OSCON, SciPY and more.

Data Science 80

Data Science Machine Learning Machine Learning Deep Learning 80

Towards AI

APRIL 8, 2024

Image generated by ChatGPT) Introduction to Joint PMFs When dealing with discrete random variables, the joint probability mass function (PMF) is a fundamental concept in probability theory and statistics. Last Updated on April 8, 2024 by Editorial Team Author(s): Ghadah AlHabib Originally published on Towards AI.

Data Science 83

Data Science Machine Learning Machine Learning AI 83

ODSC - Open Data Science

MARCH 14, 2023

Introduction to K-Means Clustering K-means clustering is a widely-used unsupervised machine learning technique for data segmentation. Editor’s note: Ali Rossi is a speaker for ODSC East 2023 this May 9th-11th. Be sure to check out her talk, “ Uncovering Behavioral Segments by Applying Unsupervised Learning to Location Data ,” there!

Clustering 98

Clustering Python Algorithm Data Science 98

Mlearning.ai

AUGUST 13, 2023

Document Intelligence Series — Part-1: Table Detection with YOLOv8 Photo by Mr Cup / Fabien Barral on Unsplash Introduction When dealing with unstructured data, you frequently encounter a situation where you must seek a resolution to efficiently retrieve information from a table within any document. ultralytics==8.0.21 Import Packages.

Deep Learning 98

Deep Learning Deep Learning Python Machine Learning 98

Pickl AI

APRIL 10, 2023

One of the biggest challenges that students face after clearing college is to find the right learning platform. So, if you are eyeing your career in the data domain, this blog will take you through some of the best colleges for Data Science in India. Lakhs to ₹ 11.0 Lakhs per annum. Top 5 Colleges to Learn Data Science (Online Platforms) 1.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Mlearning.ai

APRIL 13, 2023

Introduction Marketing attribution is an essential part of understanding the effectiveness of your marketing campaigns. This post is not an expert opinion, it is my way of trying to learn and think through a new field and document my learnings. Bullet point approach First, let’s see when to use each: Everything starts with data!

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

Mlearning.ai

MAY 5, 2023

A basic introduction to large language models and their emergence Source: Here “GPT is like alchemy!”  — Ilya Sutskever, chief scientist of OpenAI WE CAN CONNECT ON :| LINKEDIN | TWITTER | MEDIUM | SUBSTACK | In recent years, there has been a great deal of buzz surrounding large language models, or LLMs for short.

Natural Language Processing 98

Natural Language Processing Deep Learning Deep Learning Exploratory Data Analysis 98

Towards AI

AUGUST 25, 2023

Last Updated on August 26, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. How to get started with an AI project Vackground on Unsplash Background Here I am assuming that you have read my previous article on How to Learn AI. In ML, there are a variety of algorithms that can help solve problems.

Machine Learning 96

Machine Learning Machine Learning AI AI 96

Towards AI

SEPTEMBER 28, 2023

Matching Rows Between Two Dataframes Image by the author Introduction In my previous related article, we saw what Streamlit’s session state is and how it can be used in practice with a simple example. Streamlit can be really used for nice apps, and someone can easily develop such apps with only a few lines of code.

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Algorithm Python AI AI 67

DrivenData Labs

FEBRUARY 19, 2024

Getting started: An introduction to the challenge data, including image examples and some explanation about the type of variation to expect across the dataset. pip install jupyterlab pandas pyarrow opencv-python matplotlib ultralytics Download some data ¶ Let's first download some challenge imagery from the Data Download page.

Python 130

Python Algorithm Azure 130

Towards AI

JULY 20, 2023

Photo by Obi Onyeador on Unsplash Introduction Text classification is common among the applications we use on daily basis. Natural Language Processing Using text classifier to predict various categories in Malawi News articles using SMOTE and SGDClassifier. I have experimented with Vectorizer, Porter stemmer for test preprocessing.

Machine Learning 81

Machine Learning Machine Learning Natural Language Processing AI 81

Mlearning.ai

JULY 30, 2023

Identifying important features using Python Introduction Features are the foundation on which every machine-learning model is built. As we saw in the introduction, the key reason to identify critical features is to understand the proper set of features that would help achieve the best performance. What is feature importance?

Python 52

Python Machine Learning Machine Learning Algorithm 52

Heartbeat

JANUARY 24, 2023

Guide for programmers with Optuna experience Photo by Diane Picchiottino on Unsplash Introduction Hyperparameters are among the most important aspects of any given model in Data Science and Machine Learning applications. The right combination of hyperparameters is essential when one desires to come up with a great model.

ML 52

ML ML Algorithm Machine Learning 52

Pickl AI

MARCH 20, 2023

the ML-101 is an intuitive Introduction to Machine Learning , which is a free Data Science course offered by Pickl.AI. Data Science is a job role in the world that is gaining momentum with time and estimations suggest that more than 11 million job vacancies will flood by 2026 in India. Let’s read the blog for more! in India today.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

MAY 31, 2023

With the expanding field of Data Science, the need for efficient and skilled professionals is increasing. You need to be highly proficient in programming languages to help businesses solve problems. Python is one of the widely used programming languages in the world having its own significance and benefits. Read below to find out!

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

JUNE 21, 2023

Also, learn how to analyze and visualize data using libraries such as Pandas, NumPy, and Matplotlib. Data Science has emerged as one of the most prominent and demanding prospects in the with millions of job roles coming up in the market. Let’s read the blog to know how can a non-technical person learn Data Science.

Data Scientist 52

Data Scientist Data Science Computer Science Computer Science 52

Pickl AI

JUNE 16, 2023

Introduction We live in a data-driven world, and data analytics plays a critical role in analysing consumer behaviour and optimizing business strategies. Companies are reaping the benefits by assessing the consumer’s interest in particular products. Tools like Market Basket Analysis in Python are playing a pivotal role in this.

Python 52

Python Algorithm Data Mining Data Mining 52

Towards AI

APRIL 1, 2023

Learn to monitor your mo in production Photo by Alexander Sinn on Unsplash Introduction Machine learning models are designed to make predictions based on data. Last Updated on April 1, 2023 by Editorial Team Author(s): Rahul Veettil Originally published on Towards AI. Table of Contents What is Data Drift?

Machine Learning 52

Machine Learning Machine Learning Python Algorithm 52

Mlearning.ai

JULY 2, 2023

Table of Contents Introduction to Django Setting Up Django Environment Django Project Structure Django Models Django Views Django Templates Django Forms Django URL Configuration Django Admin Interface Django in Analytics and Data Science 1. With Django by your side, the possibilities are boundless, and your imagination can take flight.

Data Science 52

Data Science Python Analytics Analytics 52

Mlearning.ai

JUNE 29, 2023

Introduction We utilized a VGG19 model pre-trained on the ImageNet dataset for our emotion recognition model. Motivation In the last article , we walked through how to build, train, and evaluate an emotion recognition model. The model was also overfitting due to its high complexity, which made it difficult to generalize for new data. ?

ML 52

ML ML Python Deep Learning 52

Pickl AI

NOVEMBER 14, 2023

Introduction Are you a Python enthusiast looking to import data into your code with ease? Here we will upskill you with the Pandas library which stands as a highly favored asset amongst data scientists, facilitating seamless data manipulation and analysis. For initiating any data science project, first, you need to analyze the data.

Python 52

Python SQL Database Data Analysis 52

Heartbeat

MARCH 1, 2023

Tracking your image classification experiments with Comet ML Photo from nmedia on Shutterstock.com Introduction Image classification is a task that involves training a neural network to recognize and classify items in images. A dataset of labeled images is used to train the network, with each image given a particular class or label.

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ML ML Machine Learning Machine Learning 52

Heartbeat

FEBRUARY 23, 2023

Introduction Have you ever wondered how to use Bayesian optimization with TensorFlow? I highly recommend having the following packages installed: pandas, NumPy, TensorFlow, and keras_tuner. Curious how to design your deep neural networks’ depth and shape? Well, here’s the guide for you. STEP 1: Imports!

Deep Learning 52

Deep Learning Deep Learning Data Science ML 52

Pickl AI

JULY 24, 2023

Explore the 10 best-paying cities for Data Science and Analytics 10 Best Places Offering Competitive Data Science Salary in India In today’s data-driven world, the field of data science has emerged as one of the most promising and sought-after career paths. What is Data Science?

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Towards AI

MAY 10, 2024

Below are highlights covered in each section: Introduction Model Architecture Dataset Code Implementation Model Evaluation using a Confusion matrix, Accuracy, Precision, Recall and F1-Score Model Comparison Using Scikit Learn Introduction For a Perceptron, inputs are combined with weights and biases to derive a weighted sum.

Python 82

Python AI AI Data Science 82

Heartbeat

NOVEMBER 15, 2023

Introduction The Naive Bayes model is a popular machine learning algorithm for classification tasks. It uses probability concepts to make predictions based on feature independence. Comet is a comprehensive platform for visualizing key metrics, hyperparameters, and other relevant information throughout the model development lifecycle.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Mlearning.ai

FEBRUARY 18, 2023

with sdk v2 import libraries import tqdm import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns sns.set_style("whitegrid") import the data set # Import required libraries from azure.identity import DefaultAzureCredential from azure.identity import AzureCliCredential from azure.ai.ml

Azure 52

Azure Machine Learning Machine Learning Clustering 52

Heartbeat

AUGUST 16, 2023

Introduction With the increase in visual data, it can be hard to sort and classify videos, making it difficult for Search Engine Optimization (SEO) algorithms to sort out the video data. YouTube has a vast amount of videos, Instagram reels and TikToks are trending, and OTT platforms have emerged and contributed to the video data lake.

Python 52

Python Deep Learning Deep Learning ML 52

Pickl AI

JANUARY 12, 2023

After working for certain years, the professional journey becomes stagnant. And so, it is vital to take the next step in the direction that gives you futuristic growth. Hence, upskilling oneself becomes paramount. If you are also looking for Data Science professional certification, this write-up will be helpful for you.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52