When it comes to choosing between IIIT-NR and NIT Raipur, it's recommended to go with NIT Raipur for the following reasons:

• IIITs are undoubtedly among the best institutions in the country for providing ECE and CSE courses. However, IIIT-NR is a relatively new and small college with a smaller college strength.
• IIIT-NR lacks well-established clubs, committees, and Training and Placement offices, which can be a disadvantage for students.
• On the other hand, NIT Raipur is an old and established college with strong alumni support, numerous events, and a well-equipped Placement cell. Being a part of cultural, technical, or managerial events can help students enhance their skills and network with industry experts.
• While NIT Raipur may appear old and dusty, it has a proven track record of successful placements and a sure future for its students.
• It's always better to go for a sure future than to take a risk with a not-so-sure future.

Therefore, if you have the choice between IIIT-NR and NIT Raipur, it's recommended to choose NIT Raipur for a better chance at a successful career.

PTU and GNDU both are well-reputed colleges that have unique strengths and weaknesses. While PTU is a bit flexible in terms of exam pattern, GNDU follows the rule of a year back. The choice of the college also depends on the course you will be studying. Usually, PTU fares better in most cases. 

Ultimately, it all depends on the college or university campus you are taking admission. Most colleges in Punjab have a pathetic academic ambiance. So go for the main campus of any university else look for a decent college in your area.

In all, GNDU offers better placement opportunities provided that you are on the main campus.

When choosing between a computer science or statistics perspective for ML, it's important to consider your goals. Statisticians have high standards for theoretical guarantees and usually publish in journals. It may take 5-6 years after initial conception for a method to be accepted and used. On the other hand, computer science and ML move quickly with conferences as the primary venues. Methods and code quickly spread, and people start using them.

In general, computer science is considered a better choice for ML than statistics departments. If you're considering the ISI Machine Intelligence Unit, note that it's mostly made up of statisticians who research fuzzy logic and publish in stats or application-specific journals. Their papers don't usually appear in flagship ML venues like NIPS, ICML, or KDD.

When deciding between a CS or statistics Ph.D., also consider your employment options after graduation. The majority of people in top Indian labs like MSR, Google, and XRCI are CS PhDs, if not 100%. Statistics PhDs, on the other hand, typically work in actuarial firms or investment banks, which have different work objectives.

 Remember that the quality of education should be consistent across all institutions. Keep in mind that the MBA program emphasizes teamwork and a unique approach to learning that may differ from traditional education.

• Consider the financial aspect of pursuing an MBA, as the return on investment (ROI) is crucial. If you plan to take out a loan to finance your education, keep in mind that a significant portion of your salary may go toward paying off your debt. Additionally, the average salary package may include variable pay, meaning you may receive less money than expected.

• Think about the turnaround time for completing your degree. Some institutions, such as GLIM, offer a one-year PGPM course, which means you can start earning and paying bills sooner than those who opt for a longer program. This can also give you a head start in terms of gaining work experience and building your bank balance.

• Consider the brand value of the institution you choose to attend. While brand value is important, particularly when seeking employment, it may not hold as much weight in the long term. Ultimately, your achievements and experience will be more important than where you earned your degree.

In the end, it's up to you to determine the best approach for your career. Keep in mind that the right balance of ROI, turnaround time, and brand value will depend on your personal circumstances. For example, if you have the financial means, ROI may not be a priority, while if you're just starting out, turnaround time may be more important than brand value.

One of my cousins was in a similar dilemma as she had to choose between IMT and IPE and after thorough analysis, she chose IMT Hyderabad. Here are a few reasons to support her decision 

IMT Hyderabad seemed better in every aspect especially the infrastructure and facilities

INT Hyderabad provides all its students with single rooms while IPE charges additional fees for the same.

• IMT Hyderabad is a new institute and yet has managed to secure an average package of INR 9.4 LPA. This shows its fast-paced development. IPE average package this year stood at INR 7.4 LPA
• IMT Hyderabad has stronger ties in the corporate world than IPE.
• IMT Hyderabad enjoys a better brand value than IPE which is not known among the masses much.
• The IPE selection process lacks transparency and many times students are given admission without even an interview. IMT Hyderabad on the other hand has a transparent selection process including a WAT and Critical Thinking Test along with Group Exercise followed by a Personal Interview. Such thorough filtration ensures a better crowd. 

So it can be said that IMT Hyderabad is a better choice than IPE considering its opportunities, infrastructure, and overall brand value.

NMIMS Hyderabad is a decent school. I think it's one of Hyderabad's best MBA programs. The NMIMS brand is well known nationwide, whether you're from Bangalore, Hyderabad, or Mumbai.

NMIMS Hyderabad and Bangalore have the same faculty, infrastructure, and other services. Both colleges average 16–18 lakhs in placements.

Hyderabad is cheaper than Bangalore for housing, transportation, and living and the placement of NMIMS Hyderabad is as follows: Average Package is INR 14 LPA & Highest Package is INR 19.70 LPA.