You can access the datasets for past Kaggle competitions. You can also post candidate solutions and have them evaluated on the public and private leaderboard. I recommend working through a suite of Kaggle problems from the last few years. This step is designed to help you learn how top perform...
And to work on real-world projects, you need to find the relevant data to explore. For this, there are various online platforms that you can refer to like:Kaggle –A community platform for data science discovery and collaboration that includes datasets, contests, and tools. UCI Machine ...
Run PUDL Notebooks on Kaggle The easiest way to get up and running with these examples and a fresh copy of all the PUDL data is onKaggle. Kaggle offers substantial free computing resources and convenient data storage, so you can start playing with the PUDL data without needing to set up...
Get Your Code: Click here to download the free sample code that shows you how to deal with missing data in Polars.The tips.parquet file is a doctored version of data publicly available from Kaggle. The dataset contains information about the tips collected at a fictitious restaurant over ...
With the corpus has been downloaded and loaded, let’s use it to train a word2vec model. fromgensim.models.word2vecimportWord2Vecmodel=Word2Vec(corpus) Now that we have our word2vec model, let’s find words that are similar to ‘tree’. ...
Projects are the best gateways to achieve that. It is recommended that you visit multiple data science platforms, such as Kaggle, UCI Machine Learning Repo, OpenML, etc. Get the datasets from there, understand the problem, and figure out how the solution can be approached. This will provide...
Two datasets are available: a training set and a test set. We'll be using the training set to build our predictive model and the testing set to score it and generate an output file to submit on the Kaggle evaluation system. We'll see how this procedure is done at the end of this po...
In this section, we will be using theTesla Deathsdataset from Kaggle to import from Excel into R. The dataset is about tragic Tesla vehicle accidents that have resulted in the death of a driver, occupant, cyclist, or pedestrian. The dataset contains a CSV file, and we will use MS Excel...
Proficiency in statistics, predictive modeling, and data visualization enables developers to derive actionable insights from vast datasets. Familiarity with tools like Snowflake, Databricks, dbt, Tableau, Power BI, Redshift, and Spark is essential for analyzing and visualizing data, which is ...
We gradually added more data to this model based on user contributions, and we wanted to also add data from the TissueNet and LiveCell datasets6,7. However, we noticed that many of the annotation styles in the new datasets were conflicting with the original Cellpose segmentation style. For ...