3 Proven Data Science Projects for Beginners (Kaggle)

These data science projects should be where you start and not featured on your resume. Data science projects that are on unique data sets and that are more advanced will help you get a job. These 3 projects will help you learn the concepts and get you familiar with python.

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[KenJee_ds]

Thanks for watching everyone! For more videos on projects, check out these:

[xA]

Before delving into machine learning I recommend aspiring data scientists hone data cleaning and exploratory data analysis skills. Data familiarization and cleaning being foundational skills. There are smallish datasets that are appropriate for beginners and which can be visually scanned to confirm the findings reported. For example, the automobile fuel efficiency dataset available from UCI contains 'marked' missing values for some numeric data, data entry mistakes primarily in the make and/or model; not every make and model combination is present more than one year, and two fuel types are present. The data source makes available the original dataset as well as a subset still requiring further cleaning, along with a codebook describing the data and each variable. Many instructors tell you to begin by plotting the data but this approach has two problems: you do not know if there are any missing values or other incorrect values which can lead to plots which are erroneous or simply cannot be rendered; and you have not spent sufficient time understanding the raw data and the types of questions it might be able to answer.

[importdata]

4 Main Project Topics

1. Regression
2. Classification
3. Clustering
4. Deep Learning

[frankgomes]

I too have recently started to learn the basics of data science and honest;y kaggle is one of my favorite sites to find interesting datasets to work with. I took bio as my major in high school and had dropped maths in my last year so the concepts of statistics and probability and linear algebra got me scared at first but after I spent hours completing courses in those subjects (tons of pdfs and youtube channels and online courses) I feel pretty confident in my effort and knowledge. And I cant wait to dig deeper in this fascinating field of data science!

[tsujin]

I think the point you make around 6:30 is a really good one in general for all forms of science and engineering. It's really about practice at the end of the day. We're not born math geniuses, we learn math through repetition and problem-solving. Same thing applies to data science and programming. The more you practice it, the better you get and little by little the overwhelming problems seem a little less... overwhelming :)

[antoniosorlozano]

Thanks Ken I'm a spanish computer professional. I'm trying to introduce in ML world to change my career and your videos have help me to center my studies.

[omjeeshukla]

One of the best guy out there, helping beginners to boost through

[AmanSharma-kqrb]

As a self learner, I'd say your vids are really helpful. First off, there's something calming about your voice. Secondly, the way you guide regarding the projects, helps me set a clear path rather than rush into things and panick. Keep up the God's work your are doing. Thanks!

[utkarshkunwar]

"Experiential learning is the best way to learn and go through Data Science", very truly said because that helps us to evaluate where we lack and hence one is able to extend their domain of knowledge. Time to put the pedal to the metal!

[nischalshakya]

I am just starting out my journey in the field of data science and I find your videos to be really informative and at the same time motivating too.
It was so kind of you to share your personal experience, thoughts and knowledge about what you know to the world.
It really shows how a person's ability lies in their will.
So, I really thank you and wish for great life ahead. 😊😊

[francofoohs]

This is literally the first video I'm looking on data science, and I was a little bit scared of beggining it, but you gave me a lot of confidence when giving these resources and tips! Thank you m8

[akshayaneesh]

Thankyou so much Ken. When I started to watch your videos, I got an idea about how to start learing data science, Where should I start....😍🥰

[nardsmath]

Thanks Ken, once I have finished learning the fundamentals (midway through online course and Kaggle courses), will get these done, your videos are very helpful!

[virsengupta]

Thanks for saying "don't get overwhelmed"! Find your videos very helpful. Keep posting, Ken!

[AnilSharma-sgqw]

Finally we have someone on internet who is really putting you on the right path of learning data science and ML, thanks a tonne! I was completely lost and frustated, I will recommend this channel to my friends and colleagues.

[sahil-dhco]

From last one month I am learning data science but I was little bit confused that where should I apply this knowledge but after watching your video now I can do some projects in data science
Thank

[aakashkhadka]

I really want to thank you as I already have done first 2 projects during this lockdown. I realized that everything is possible to learn. You are very good person for sharing the invaluable knowledge.

[BradWButts]

Your the GOAT Ken! Your channel and in-depth breakdowns have been invaluable to my studies. Thank you!

[Zalezus]

Watching in early 2022. I really like this breakdown of process and how to think about solving problems. I'm a musician, producer and recording engineer and a lot of these....learn-by-doing and divergent thought processes remind me a lot of how to get a good mix or composing. Really excited on this journey

[seekergx]

Thank you so much! I cannot believe I didn't realize how helpful Kaggle is