Exploratory Data Analysis (EDA) || Intro to ML and Data Science

Ave Coders! In this video, we will perform Exploratory Data Analysis on the Titanic Dataset. We will learn what are the features, how to work with continuous features, how to fill missing values, aggregate several features into one, drop unnecessary features and plot features. We will be working in Google Collab and during this lesson we will use Python with such libraries like Numpy, Pandas, Seaborn. If you are not familiar with them, I have a whole playlist with complete tutorials on them on this channel. #avecoders #machinelearning #datascience Ave Tech: https://www.youtube.com/channel/UCIViq3TOQY6eTefhEJA9JEw Twitter: https://twitter.com/AveCoder Facebook: https://www.facebook.com/groups/avecoders Support me: Patreon: https://www.patreon.com/avecoder Paypal: paypal.me/avecoder Donation: https://www.donationalerts.com/r/avecoder Crypto: BTH: 1BmLvUFiJaVpCAwhzW3ZwKzMGWoQRfxsn4 ETH: 0x6f1A488c9b12E782AEF74634a40A79b1631237aB