NobleProg India | The World's Local Training Provider
A passion for coding in python and a love of pedagogy was what led to the Founder of negeriku.info Ruth and Jonathan Marvin .. Does Priyanka Chopra Know That Dating Apps Are Going To Be The Next Big. For Best Institute for Python in Bangalore: Here is the list of Top experienced IT Training Institutes who offer Python and other Software courses in Bangalore. Python Training in Bangalore. negeriku.info is the oldest and exclusive python training course provider in bangalore. At negeriku.info bangalore we offer practical and live.
Why do you think that is the best place for you? We are currently based in South London, UK. We enjoy travel to Bangalore and were there a few months ago visiting family and friends. Future plans for training and events are underway. The UK is a wonderful place to live and it would be good to look into building more viable links, especially in the fields of education, training and software, between the two countries. As a startup founder, what are you paranoid about? What keeps you awake at night?
Python Training in Bangalore | Best Python Training in Bangalore
Dependencies and compatibility issues. The problem with the web is that there are always so many different factors and variables upon which your business and success depend on.
This means you can do your absolute best, and sometimes things can still go wrong! Just the other day we discovered that one of our core modules was failing to work on a particular version of Chrome. Cross-browser compatibility is just a huge pain and has definitely kept us up at night on more than one occasion!
Greed, however, and the desire to simply make more money or gain power is certainly not what drives us. Of course, it is important to make a living, as we all need money to survive, but money is just a tool — and often a test, and should be made and used wisely.
We would never want to make money in a manner that disadvantaged anyone else, and would much rather spend our time investing in a better future and better world, even at a cost to us! So what are we paranoid about?
Who are your competitions and how are you better than them?
Teachyourselfpython.com: Making Python easy to learn
This provides us with a pedagogical edge, and pedagogy in the teaching of programming is everything! Furthermore, most of our best stuff is free so it is easily accessible. Our test and track feature is entirely unique with nothing like it anywhere.
It is an absolute must-have for school teachers setting out to teach, test and track the progress of their pupils learning programming. Our pathways have all been tried and tested in the classroom and again, that is what gives us a step up on any competitors that are simply bods working for a large firm with no personal touch or experience. How hard is it to have a work-life balance as a startup founder and how do you manage it?
Hard work is part of life although finding a balance is important if you want to maintain a good quality of life! We do love going on holiday and ensuring that we have blocked out time for nothing other than just fun and spending time with family and friends. Other than that, I would say the secret to maximising time is rising early.
We also believe that the best portions of our time ought to go to things other than business, such as God, family and friends. For us, that would be the right balance and makes life worthwhile.
Have you raised funding? If yes, then we would like to know the details. If no then please tell us if you are looking to raise.
We have plans to expand and for this funding would be necessary. To this end, we would be interested in investors and potential partners. Our current model, however, has simply been using our profits to put back into the development of the business.
Why do they have that? People may assume that any enterprise starter is ambition and money hungry, but this is not the case at all. Money is a tool to survive in this world, but also to do good. What gets you excited about this company?Learn Python Programming Tutorial Online Training by Durga Sir On 26-01-2018
It is simply huge and absolutely global and massive in scope. We hope people will start to share our excitement and share our site and resources with others. The possibilities within the education sector for making a difference are a huge source of excitement. That 9 foot tall woman. Variables can have skewness, outliers etc.
Top + Data Science Interview Questions & Answers [UPDATED]
Then the arithmetic mean might not be useful. Variables can be multimodal! If a variable is multimodal then anything based on its mean or median is going to be suspect. Proper exploratory data analysis.
The exploratory phase will generate lots of possible hypotheses, and the exploitatory phase will let you really understand a few of them. What is the role of trial and error in data analysis? What is the role of making a hypothesisbefore diving in?
Python Training in Marathahalli | Python Training in Bangalore
The scientific method is eminently inductive: As a result, we come up with new hypotheses which are in turn tested and so on. This is an iterative process, as science always is. Look at the variables added in forward variable selection Q How do you deal with some of your predictors being missing? Build another predictive model to predict the missing values — This could be a whole project in itself, so simple techniques are usually used here. Use a model that can incorporate missing data — Like a random forest, or any tree-based method.
You have several variables that are positively correlated with your response, and you thinkcombining all of the variables could give you a good prediction of your response. However, you see that in the multiple linear regression, one of the weights on the predictors is negative. What could be the issue? Multicollinearity refers to a situation in which two or more explanatory variables in a multiple regression model are highly linearly related. Leave the model as is, despite multicollinearity.
What are some ways to make the prediction more feasible? How would you perform feature selection on the dataset? First, train a model with all the feature and evaluate its performance on held out data.
Iterate until you observe a sharp drop in the predictive accuracy of the model. What could be wrong?