- **Importance of Explaining Projects:** - First question often sets the tone for the interview. - Smart candidates use it to steer the interview towards their strengths. - The first 15 minutes are crucial for making a strong impression. - Explaining projects well can significantly influence hiring decisions. - **Common Mistakes to Avoid:** 1. Presenting irrelevant projects without considering the company's domain. 2. Copying projects directly without understanding, leading to inability to answer basic questions. 3. Choosing uninteresting or trivial projects that don't stand out. 4. Being underconfident, not fully explaining the project or its impact. - **How to Present Your Project Effectively:** - **Step 1: Describe the Project** - What the project is and why it was created. - Connect the project to the interviewer's/company's needs. - **Step 2: Explain the Project Flow** - High-level overview of the project's architecture or flowchart. - Detail the data sources, project approach (algorithms, feature engineering), and deployment/productization process. - **Step 3: Highlight Learnings and Impact** - Discuss the project's impact, challenges faced, learnings, and potential improvements. - Be prepared to answer technical and conceptual questions about the project. - **Effective Presentation Tips:** - Customize the project explanation based on the job domain. - Focus on projects that demonstrate unique skills or insights. - Be confident and thorough in explaining the project's technical and business aspects. - Use the project discussion to showcase problem-solving skills and adaptability. - **Conclusion:** - A well-explained project can significantly influence the interview outcome. - Tailor the project presentation to the interviewer's interests and the job requirements. - Be prepared to delve into technical details and discuss the project's broader impact.
So many great advices there! Kudos for this video you rock man! I've been following your ml videos closely and learnt a lot from them. I wish you could make more videos on the deployment part as well. This is the part where I'm lacking the most. A playlist on how to use flask and deployment on different cloud platforms would have been extremely helpful. hope you are going to make it one day!
Firstly thanks for Hinglish content...aur banate raho Bhai. Dusra Mai ek bank ke credit risk project me kaam krta hoon jisme machine learning python pe kaam hota .Kya mujhe bhi multiple projects dikhane padenge? Maine to data science me wahi ek hi kaam kiya hai 2-3 saal se
- **Importance of Explaining Projects:**
- First question often sets the tone for the interview.
- Smart candidates use it to steer the interview towards their strengths.
- The first 15 minutes are crucial for making a strong impression.
- Explaining projects well can significantly influence hiring decisions.
- **Common Mistakes to Avoid:**
1. Presenting irrelevant projects without considering the company's domain.
2. Copying projects directly without understanding, leading to inability to answer basic questions.
3. Choosing uninteresting or trivial projects that don't stand out.
4. Being underconfident, not fully explaining the project or its impact.
- **How to Present Your Project Effectively:**
- **Step 1: Describe the Project**
- What the project is and why it was created.
- Connect the project to the interviewer's/company's needs.
- **Step 2: Explain the Project Flow**
- High-level overview of the project's architecture or flowchart.
- Detail the data sources, project approach (algorithms, feature engineering), and deployment/productization process.
- **Step 3: Highlight Learnings and Impact**
- Discuss the project's impact, challenges faced, learnings, and potential improvements.
- Be prepared to answer technical and conceptual questions about the project.
- **Effective Presentation Tips:**
- Customize the project explanation based on the job domain.
- Focus on projects that demonstrate unique skills or insights.
- Be confident and thorough in explaining the project's technical and business aspects.
- Use the project discussion to showcase problem-solving skills and adaptability.
- **Conclusion:**
- A well-explained project can significantly influence the interview outcome.
- Tailor the project presentation to the interviewer's interests and the job requirements.
- Be prepared to delve into technical details and discuss the project's broader impact.
@mathematicalninja2756 thanksss broo
Well Explained. Thank you sir. Waiting for the next Deep Learning Video.
So many great advices there!
Kudos for this video
you rock man!
I've been following your ml videos closely and learnt a lot from them. I wish you could make more videos on the deployment part as well.
This is the part where I'm lacking the most.
A playlist on how to use flask and deployment on different cloud platforms would have been extremely helpful.
hope you are going to make it one day!
Sir please make a SQL-MYSQL playlist for beginner to intermediate ! Also includes advance (if required for data Analyst) topics if possible
Refer Sumit mittal sql play list
Thank you so much Nitish, this was very helpful , you are doing excellent!
It's been very helpful. Thanku so much sir for guidance, amazing video as usual.
Firstly thanks for Hinglish content...aur banate raho Bhai. Dusra Mai ek bank ke credit risk project me kaam krta hoon jisme machine learning python pe kaam hota .Kya mujhe bhi multiple projects dikhane padenge? Maine to data science me wahi ek hi kaam kiya hai 2-3 saal se
Thank you for this Wonderful video Nitish Sir ❤❤
Can you make a video about on campus placement and how should we present our DS projects.As many companies are software dev companies.
This video is super helpful thanks for creating one
Why you choose that problem statement? How you solved it? What was the impact ?
Thank you so much sir
On RUclips a lot of projects and videos available, codes available, how can we justify this. As a fresher what should I do to stand out of the crowd??
Thanks Sir, Your videos are Gem
Thank you so much for this video
Hi sir. I need to.develop an web app which includes nlp and deep learning techniques.can u pls tell me platforms to be downloaded
make video for data analyst as well
Hello sir I really believe you should become part of ineuron
Very useful!
well explained
Thank you sir
Thank you 👍
Can u suggest different project ideas for banking domain?
Sir how much python required sir
Thank you sir
Sir.you r awesome
Sir.,, english mein communication ke problem ke bare kuch idea di diye
How much python will ask in data science interview
Detection of face mask using Cnn?thik hai sir?
Please sir ak resume format ka v video bana decry
Data science resume format in fresher p
Khas kar ke entry level position ke liye video banao
Sir Kai Sa ho ga ki aap Calculus ka pura series banao toh?
Thank you
Sir your channel is best for learning
Hi Sir,
Can you please make a video of a industry level project for reference.
Sir kuch aise project batao jo alag ho
Data science ke liy python kitana ana chahiye sir ?
50 to 75
❤️❤️❤️❤️❤️
Sir aap QnA session lo yek
Bro Deep learning next video ?
Can you please post in English? Not able to understand
Bestttttttttttttttttttttttttt
Is there anyone who are currently working in data science profile?