all about data science – pranav

Canadian Motor Vehicle Industry - Employment & Earnings Analysis

analysis

visualization

A comprehensive analysis of Canada’s motor vehicle industry employment and earnings trends based on the Survey of Employment, Payrolls and Hours (SEPH). The analysis covers 11 automotive-related industries across the value chain, from manufacturing to retail and services.

Dec 19, 2025

Canadian Lumber Industry Overview

analysis

visualization

An in-depth look at Canada’s lumber industry over a decade (2014-2024), examining production volumes, shipment patterns, and inventory management across different wood species and geographic regions.

Feb 15, 2024

A Guide to LLMs

llm

generative AI

A code-first approach to understanding how to use large language models in practice.

Oct 2, 2023

GPT-4: The next frontier in AI language models

generative AI

llm

Advancements in AI research with a comparison between GPT-4 and ChatGPT

Apr 1, 2023

How to use ChatGPT to enhance your productivity

generative AI

Eight ways ChatGPT can make you more efficient

Feb 13, 2023

How to select the perfect prompt to create AI images

generative AI

Key considerations for selecting the best prompts for image generation

Dec 24, 2022

Cleaning and preparing data for model training (Part 2 - Time Series Data)

analysis

Performing EDA on a time series dataset and preparing it for modeling

Jul 1, 2022

Cleaning and preparing data for model training (Part 1 - Tabluar Data)

analysis

Performing EDA on a tabular dataset and preparing it for modeling

Jun 6, 2022

Handling categorical variables

analysis

tutorial

A blog post on how to deal with categorical variables while analyzing data

Mar 15, 2022

Vectors and matrices

tutorial

Explaining the concepts of vectors and matrices, and how they help in Data Science

Dec 18, 2021

Pandas tutorial

tutorial

Exploring the basics of the Pandas library

Nov 21, 2021

AI-generated movie reviews

nlp

Creating a language model that will generate its own movie reviews using PyTorch and Fastai

Nov 14, 2021

Classifying movie reviews

nlp

Classifying movie reviews using sentiment analysis and ULMFit

Jul 15, 2021

Predicting the sale price of bulldozers sold at auctions

machine learning

Predicting the sale price of bulldozers based on the usage, equipment type, and configuration

Jun 7, 2021

Classifying pet breeds

computer vision

Figuring out what breed of pet is shown in each image of a dataset using fastai

Mar 2, 2021

Classifying cats and dogs using CNN and transfer learning

computer vision

Building a model to try and identify whether images contain a dog or a cat using TensorFlow

Jan 30, 2021

Real-time lane detection

computer vision

Performing real-time lane detection on a driving video using OpenCV

Jan 4, 2021

Rock, paper, scissors

computer vision

Identifying whether an image of a hand is showing rock, paper or scissors using TensorFlow

Dec 18, 2020

Predicting text for a Harry Potter book

nlp

Predicting text in context to a Harry Potter novel using TensorFlow

Nov 4, 2020

Creating a color detector

computer vision

Creating a color detector that will detect color names and RGB values from any picture using OpenCV

Oct 20, 2020

Inspecting meat producers data

analysis

Using SQL to examine data to assess its quality and modifying the data and tables to make analysis easier

Sep 15, 2020

PostgreSQL Tutorial

tutorial

A blog post that outlines PostgreSQL basics

Aug 30, 2020

Analyzing the quality of wine

analysis

machine learning

Analyzing the quality of red and white wines, and checking which are the attributes that affect wine quality the most

Jul 5, 2020

Python basics 3

tutorial

Part 3 of a Python tutorial for beginners.

Jun 16, 2020

Python basics 2

tutorial

Part 2 of a Python tutorial for beginners.

May 16, 2020

Python basics 1

tutorial

Part 1 of a Python tutorial for beginners.

May 2, 2020

Where should you live in London?

analysis

web scraping

machine learning

Imagine you are moving to London. We’ll use the London Crime data and the Foursquare API to select which neighborhood best fits our needs.

Apr 14, 2020

Recommending movies to a user

machine learning

Exploring content-based and collaborative filtering recommendation systems

Mar 15, 2020

Using SVM to detect cancerous cells

machine learning

Using support vector machines (SVM) to build and train a model using human cell records, and classify cells so as to realize whether the samples are benign or malignant

Mar 7, 2020

Segmenting and clustering neighborhoods in Toronto

analysis

machine learning

web scraping

Exploing neighborhoods in Toronto and grouping them into clusters

Mar 1, 2020

Understanding hierarchical clustering

tutorial

We will be looking at agglomerative hierarchical clustering

Feb 15, 2020

Understanding logistic regression

tutorial

Creating a model for a telecommunications company using logistic regression to predict when its customers will leave for a competitor

Feb 6, 2020

Visualizing crime in San Francisco

visualization

Creating a map looking at the crime data in the city of San Francisco

Jan 30, 2020

Segmenting and clustering neighborhoods in New York City

analysis

machine learning

web scraping

Exploring neighborhoods in New York City and group them into clusters

Jan 26, 2020

k-means for customer segmentation

machine learning

Customer segmentation is the practice of partitioning a customer base into groups of individuals that have similar characteristics

Jan 19, 2020

Understanding k-means clustering

tutorial

An introduction to k-means clustering

Dec 26, 2019

Finding the proper drug for a new patient

machine learning

Using the decision tree classification algorithm to build a model from the historical data of patients and their response to different medications, and predicting the class of an unknown patient

Dec 10, 2019