My mistake is to aim for perfection instead of completion.. learning the same thing in multiple ways which drains so much of time ..Research thodi kr rhe hain itna time bithane ke liye... Learning --Implementation---Learning--Growing .. cycle should be like this. And my other mistake is to ignore deployment of models

Mistakes 1) False expectations 2) Not following single roadmap 3) Lack of consistency 4)ignoring pillars of data science -python, sql and statistics 5)ignoring pillars of data science-Data Preprocessing, feature engineering ,exploratory data analysis 6) Not working on real-world datasets 7) wrong order of study(ML algorithms) 8) Not focusing on deployment 9) not starting interview preparation on day 1 10) not having mentor or study group

1. Revising python libraries again and again. It is a high possibility that you may forget the numpy pandas operations during execution. So you just need to take overview of code from internet and eventually you will start remembering them after 8-10 datasets. 2. Consistency - For this spiral method works which sir suggested i.e first take overview of topic and then do the topic again (Its like ek ek karke dhaage kholna) 3. No friends to study and never tried to talk with random. Extra: 4. Mental Health - Jabtak dimmag shaant nahi rahega , business wala dimaag nahi chalega aur fir data science mein maza bhi nahi aega.

@nightingale180

2 жыл бұрын

totally agree , i spend 1 month ,and each of its day in frustration ,as i wanted to cover so many topics in one day.

@deepeshhyalij7223

Жыл бұрын

could you be my mentor plz

@AbhayBisht-eb6qd

Жыл бұрын

Love you bhai ❤️

Mistake done by me while learning DS/ML/Python: Memorizing syntax - I was thinking I should write code without using google. Even in interview no one expects correct syntax from you, all they expect from u is how much you know concept. Though you must know basic syntax to clear coding round.

1. Changed my roadmap quite a few times, which slowed my learning drastically. I think I studied same Pandas, Numpy, data viz libraries more than 2-3 times, but studied the same thing just for this mistake. 2. Inconsistency. I learnt, I stopped, and I forgot. And again the same circle!

I haven't aced any interviews yet but aced all these mistakes Thank you for bringing these small(but big) mistakes into light.

That's some extremely good advice. Thank a lot for this.

Great to know about you were a software developer ! It gave a quite motivation 😊

I'm following your machine learning roadmap from start to end. And deep learning is still going on. Thank you sir ❤

We r very lucky to have a mentor like u sir. Very greatful to u n ur channel. Thanku so much. I did same mistakes u told. Still learning. Now that ur channel is there , i stay motivated.

Loved to see you ❤️ awesome job brother

I am following your roadmap , Thank you so much

ye 10 points bahut zyada kaam ane wale hain...bahut zyada...shukriya nitish bhai ❤💯

The video was like a mirror for me . I realised I was doing the same mistakes, but still in my learning phase so I can rectify it. Thank you so much for sharing

Thanks for sharing this useful knowledge

I have done all these mistakes and was demotivated. I will start again after watching this video. I purchased your DSMP 2.0 program. I found a good teacher now but very late.Thank you for being so honest in your teachings and making ML concepts easier for us.

Thank you sir, for the roadmap. Your videos are really good, to be frank it is perfect for people like us who are from non-technical background.

3-Pillars Python, SQL , Maths(Stats, Linear Algebra, Probability) TOP 10 Machine Learning Agorithms Linear regression Logistic regression Decision tree SVM algorithm Naive Bayes algorithm KNN algorithm K-means Random forest algorithm Dimensionality reduction algorithms Gradient boosting algorithm and AdaBoosting algorithm Comment if Order is right, As I have just copied it from google.

@prasadkulkarni7195

Жыл бұрын

1 KNN 2 naive bayes 3 linear regression 4 logistic regression 5 linear SVM 6 dual form of SVM 7 gradient descent 8 decision tree 9 random forest 10 GBDT 11 ada boost 12 Xgboost 13 PCA 14 t sne

@sunandadebnath96

Жыл бұрын

you miss the main one merge the skills with different business domain

Thanks for these priceless tips Legend Nitish Sir

1. Set fair time period to learn 2. Stick to one Roadmap 3. Consistency 4. Masters the pillars of data science (Python, SQL, Statistics & Maths) 5. Master -> Data Preprocessing, Feature Engineering, Exploratory Data Analysis 6. Try to work on Real Life Datasets 7. Give much time learning important ML algorithms 8. Deployment and management of Model 9. Prepare for interview simultaneously after learning anything 10. Motivation by mentor/study groups

Your content is so valuable.....you must get millions of viewers One day you will be Thanks

Sir i have followed all your course and for me you are best teacher regarding data science. I want you to create a playlist on model deployment and integration into website, android app and desktop application.

Nice advice..... it helps a lot..

Thank yoy so much this will be extremely helpful for me.

Thank you sir for your valuable lessons

Nice advice bro...you saved tones of time

Now i am realising that I am doing same kind of mistakes. Thank you so much.

I will be following your advice religiously from now on bro, thank you sharing these invaluable knowledge and tips

@shakkey

4 ай бұрын

Hi bro are you getting started in data science we can connect on linked on

I am doing all these mistakes but thanks for this video now i know what i need to know or focus on

Bhaiya thanks, mentor nahi mila aap kai jaisa.

All most all mistakes i have experienced from from same bhai.. and started over coming from them... any way thanks for sharing without any hesitation.... 👍

Thankyou so much 😊✨🌼

the same situation is going with me, thanks for guide.

Mistakes in my DS journey 1. Focussing on implementation rather than in-depth knowldege. 2.Not getting into depth of things/ Having a superficial approach. 3. Thinking I understood it without actually understanding

Thanks!

U saved my life thankyou ❤️

I think you have covered all common mistakes that anyone can do or have done in past. Apart from this, I think one can also be distracted by some other courses just by seeing their salary and scope or may lose hope by seeing any negative feedback or review about data science. So, if you have decided to become a data scientist then remain stick to the course until you got a start in this field

very informative video. 🙏🙏🙏🙏

Amazing ❤

Thank you so much ❤

Great mentor for me

Thank you so much sir

wonderful!

Good sir g thanks

Thankyou sir, I am following your Roadmap. Sir, can you please update the roadmap since you said you will update some more things.

Biggest mistake not having mentor like you yet

@ShubhamVerma-wf3vc

2 жыл бұрын

Yes you are right.

Bahut achchha video hai guys

Thank you sir .... plz sir time series forecasting p video bnao.

This channel is underrated

Me bhi yhi mistake kr rha hun 6 months me data science khatm...aapka roadmap sahi he ....consistent ni hona ek ar galti ...python ,sql ,statistics strong krna ye sahi baat he ...data clean krne pe aaj se focus rahega maximum....real world data set and pe abhi tak me try ni kiya ........interview preparation wali baat sabse important .........thanks for this suggestion

Great video....I just started learning Data Science.....This video will really help me not make these mistakes. If anybody is also like me who have just started can connect to me to form a study group.

@az-zoha

Жыл бұрын

how's your journey going??

I mainly face problem in understanding deployment of models since I am from non CS background. I have a fair grasp and understanding of algos and statistics since I am a statistics student. Second thing is writing complex sql queries. I really face a hard time dealing with them.

Correctly said Bhai, inconsistent, less practice are my mistakes. Now i need to work on because I am from Non-tech background. While watching videos it looks like a cakewalk but in real it's not!!

Thank you sir

Thankyou

Though i have already done most mistakes but I'll try to improvise them from now onwards.

I was learning ML for about a year (to be honest I was frustrated)and I saw this video, I am committing 6 out of these 10 mistakes. Thanks to him for letting me know what I was missing. In the last part where he mentions that one should have a mentor or a study group, I totally agree with that and that someone who wants to team up is welcomed.

@mysterysoul1936

Жыл бұрын

I'm new to ml ,will u team up?

@vedantbhenia9085

Жыл бұрын

@@mysterysoul1936 sure we can

@mysterysoul1936

Жыл бұрын

@@vedantbhenia9085 where can we start and communicate?

@shivambansal1993

Жыл бұрын

I too have the same story as you. I too am learning for over a year with lot of inconsistency. I want to team up if its fine with you.

@omsingh4319

Жыл бұрын

I also want to be in team, Please add me too

It's been almost 3 months i have started learning n practicing data science stuff trust me doing simple exploratory analysis on real world data is very difficult compare to learning ml dl models n maths

Sabse badi galti ki kisi bhi institute ko bina sonche samjhe ya research kiye Bina join kar lena. Human nature hota hai ki first impression me agr koi chiz acchi lagi to hum usey hi consider krte hai aur isi cheez ka sales person advantage utha te hai. Before enrolling for any course try to ensure ki unka product kesa hai fomo me aakey join na kro. Aur Mentor ko khojne ki zrurat nahi hai wo yaha maujood hai sab Eklavya ban jao ab....

Please made a vedio on open source contribution in field of data science

sir please make a full data science roadmap for us🙏🙏🙏🙏🙏🙏🙏

Yaar ye kitna awesome hai 😅

Sir pls make a video on k fold cross validation Sir maine abhut saara video dekha par usme acche se explain nahi Kiya gaya hai Aap ek video banao aur statistics par bhi video banao Apne playlist me dusre ka video daala hai Sir it's very important for me I am watching only your video , getting understand with your video only Humble request from honest student to best teacher

Sir, ek deep learning roadmap

Sir mai to apko naman karta hu...aap ban jao mere mentor

You have covered the syllabus along with mistakes. Syllabus is huge

Thanks

Can you please make a playlist of end to end project using real time dataset .

you are true person

Bestvedioo

Hello sir Any recommendations or videos on deployment?

Can you take a survey on the same topic and display results where most people make mistakes because what you said is true to core also if you post on website it helps learner to have a glance plus we get evaluation were majority goes wrong 😅

He is telling exact facts

I focused on only ml and I judge core python that was my mistake.... focused on only libraries which are like pandas ,numpy..etc In this field python is also more important....

@deepeshhyalij7223

Жыл бұрын

could you be my mentor plz or suggest any

I have done all this mistake, join creating any study group should be first thing I have to do.

Interview clear karne ke liye kitna syllabus padhna chahiye and kitna time lagega ?

Guys I will recommend you for this course: Core Python (Hindi): kzread.info/head/PLbGui_ZYuhigZkqrHbI_ZkPBrIr5Rsd5L Advance Python (Hindi): kzread.info/head/PLbGui_ZYuhijd1hUF2VWiKt8FHNBa7kGb

I have ignored deployment. Need to focus on it.

thanks for the great content!! you have your own fanbase of camusXers!!

Felt like my future is talking with me ,i did the same mistakes which sir quoted.

1-> Not eating from one plate jumping here and there and last getting sleep without eating required food. 2-> Not having an proper mentor and also not having an partner of study. 3-> Not following a particular roadmap. 4-> Having so many resources to learn but don't know how to consume the efficient one with immediate effect. yet many others are there

2nd one happened with me as well...

I just say i love you ❤️

Sir i also started learning ml algo initially and was not knowing python sql. I face difficulties daily

Thanks sir g. Sir g interview ky liay DSA kitna ziada chaheay hota. Data science interview ky liay again thanks air

The biggest mistake I have done so far is that I became a perfectionist. In my opinion, you should find how much knowledge is important to just start and Practice, Practice, Practice. So that while practicing you will automatically start googling thing and learn.

How much python should I master...like I have done the basics till object oriented programming

Hi sir, i am new to your channel from machine learning roadmap video So now, i have to follow your this video and your ML and DL course of 100 days or i have to follow roadmap resources? Which one ?

@campusx-official

2 жыл бұрын

Roadmap

This is definitely a helpful video. A mistake that I think I made was rushing too quickly into coding and not focussing more on basic stuff like MS Excel and SQL. Edit: Trying to land my first data role ever.

Sir where did you learn data science, can u tell that ??

I am an Aeronautical Engineer who wants to be in Data Science and i am learning all the skills needed by Data Analyst just to get a job and get going in the data field is this the right approach.

@atharvkumar9740

Жыл бұрын

Why are you come to data science filed?

@pavanpc5146

Жыл бұрын

@@atharvkumar9740 Because I am Interested

Sir is 100days of machine learning playlist enough to crack machine learning interviews??

Suppose I completed a topic eg mangoDB or stats. So where can I find projects related to the topics which I have completed?

be my mentor sir all other 9 mistake ill cover .

finished watching

sir data analytics k liye bataiye kaise start kare

Sir final year wale data science and DSA ko kese manage kare study k lie

I have statistics background my mistake is, do not practice regularly of coding.

Mistake 2 for me because I am learning data science

Is Data science field bright in 2023? Future scopes comparing others tech fields?