Explore the concept of Exploratory Data Analysis (EDA), a crucial step for data scientists to understand datasets without sufficient domain knowledge.
Dive into an intriguing dataset documenting Kobe Bryant's remarkable NBA career spanning two decades. With 1558 game entries and 645 attributes, uncover the visualizations that showcase Kobe's NBA appearances, shot types, shot zones, opponents, and more.
Witness the impact of data wrangling techniques and impactful visualizations in unraveling the story of Kobe Bryant's successful career.
Ames housing dataset used to build linear regression models for accurate sale price prediction.
Extensive data cleaning, visualization, feature engineering, and model evaluation techniques employed.
Achieved a root-mean-squared-error (RMSE) score of 18,000, demonstrating the effectiveness of the models.
Leveraged advanced text classification techniques to create a powerful model that accurately determines the subreddit of a post, revolutionizing targeted advertising on Reddit.
Algorithmically placing ads in the most relevant subreddits for the target audience, to increase engagement and conversions.
Boosted marketing effectiveness by optimizing ad placements on Reddit using the model's predictions, ensuring that ads reach the right audience and drive impactful results.
Analyzing Twitter activity in India using topic models to uncover latent themes and trends for valuable insights.
Correlating Twitter discussions with COVID-19 cases in India to understand the impact on social media interactions.
Improving search algorithm on Twitter by leveraging topic models for context-based results and increased user engagement.
Employ computer vision to detect distracted drivers by analyzing in-car images, classifying actions like texting, talking, eating, and more.
Accurately predict driver behavior by leveraging computer vision on in-car images, distinguishing between safe driving and various distractions.
Explore the fascinating field of driver behavior analysis using computer vision, extracting insights from curated in-car image datasets.