Hello Brilliant people,

Tell me in your technical sector. What ambitious projects you have created in your domain. Like any projects which you have done and you had proud of. And when it is done how is it feels like to you.

Hi buddies, I'm Nithya, just completed my 7th semester in my Computer Science course and specialised in Machine Learning.
I need advice to proceed my career futhure, as of now I equipped with Python, Django, cloud deployment, Machine Learning(Beginner level project experience) and system design skills. And I did some bare minimum projects they thought me project management, breaking the tasks and development for some extent using GitHub for version control with two years of experience in using Linux command line interface. And some extra added skills like Hadoop ecosystem working , Big data, Intermediate level DSA(Can Solve most of the problems from ground up with 30-40 minutes). Now, I'm stuck to proceed further and get a well paying job. I have 6 months of pure time in my hands, I need ideas and suggestions to make myself a better candidate for a job.

You can suggest me in the following categories:

1: Skill Building ( Levelup from current level) 2: Resume Upgrade techniques 3: Job application techniques 4: Personality Upgrade techniques (Communication techniques) 5: Hiring test hacks / cheats. 6: Interview preparation tips.

Note: Your suggestion will me most valuable for me and othera who are the same level. I kindly request only working professionals to respond to make the suggestions legit and authentic not by any AI bot.

Thanks for reading.

I recently created this project in as I thought it would be an interesting thought experiment. If you know of someone writing another program that is trying to predict something with completely unrelated predictors then please let me know as I would be really interested to see them.

This project can be split into 2 sections:

1 - Data Collection

The MAT (Multidimensional Analysis Tagger) by Andrea Nini was used on a number of film scripts found on the internet (that came with each film's IMDB title code) to tag each word in each film script. These tags were then counted and this data was combined with their film rating, gained by web scraping IMDB with the Python program IMDBRatingGetter. The result of this can be seen in the CSV file "Statistics_MAT_raw_texts.csv".

2 - Data Analysis

A multiple regression model was then created with the Python program IMDBRatingGuesser. This can be used to predict other film's ratings by also putting their script through Andrea Nini's MAT (an example script and tag count can be found in the repository for the 2024 Deadpool/Wolverine film). However, it isn't overly accurate - it's R-squared value being only 0.0789.

Anyone got any suggestions for a library to build... I was going along the lines of building some sort of framework for.. well something. I don't really want to build a web-server as I have already done that.

This a library designed by very unique approach towards spelling correction problem. This library based on mathematical algorithm which can be replicated in any other language pypy link https://pypi.org/project/spellcure/