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About 14 results  (1–10) (1337ms)
  1. ICFOSS - Career Details

    icfoss.in › career-details › 45

    BSc in Computer Science or equivalent Note: Candidate should have undergone his/her course on a Regular Basis. 0 to 1 year experience in relevant projects Programming knowledge in Python … Experience in handling Machine Learning and / Deep Learning projects for Machine Translation Good exposure towards Machine Learning and Deep Learning concepts Preference will be given

    Job Listing
    2026-07-06
  2. ICFOSS - Events

    icfoss.in › events

    Machine Learning through FOSS Phase II open Venue: Online Time: 10:00 AM - 05:00 PM ICFOSS is organising a 10 day session on “Machine Learning through FOSS” starting from 21st December … Machine Learning through FOSS Phase III open Venue: Online Time: 10:00 AM - 09:00 PM ICFOSS is organising a 10 day session on “Machine Learning through FOSS” starting from 10th M...

    2026-07-06
  3. ICFOSS - Events

    icfoss.in › index.php › events

    Machine Learning through FOSS Phase II open Venue: Online Time: 10:00 AM - 05:00 PM ICFOSS is organising a 10 day session on “Machine Learning through FOSS” starting from 21st December … Machine Learning through FOSS Phase III open Venue: Online Time: 10:00 AM - 09:00 PM ICFOSS is organising a 10 day session on “Machine Learning through FOSS” starting from 10th M...

    2026-07-06
  4. ICFOSS - Event Details

    icfoss.in › event-details › 198

    an Online Certificate program in “Machine Learning through FOSS”, from 7 th of October 2024 to 24 th of October 2024 , aimed at enhancing the technical competencies of aspiring engineers … /Day for 15 days-Except holidays ) Topics : Introduction and Course overview, Python For Machine Learning, Numpy Pandas & Data Preprocessing, Linear regression & Logistics Regression

    Course
    2026-07-06
  5. ICFOSS - Event Details

    icfoss.in › event-details › 199

    Event Details home Events Event Details Certificate Program in “Machine Learning through FOSS”- (Offline -On Saturdays- 6Hrs/Day-For a total of 5days) -30 Hour Program ICFOSS is pleased … 30 Hour Training ), Topics : Introduction and Course overview, Python For Machine Learning, Numpy Pandas & Data Preprocessing, Linear regression & Logistics Regression, Naive-Bayes

    Course
    2026-07-06
  6. ICFOSS - Event Details

    icfoss.in › event-details › 157

    Event Details home Events Event Details Machine Learning through FOSS-Phase V ICFOSS is organising a 15 day session on Machine Learning through FOSS-Phase V ICFOSS is organising a 15 … Key Training features: 30 hours of Industry-Lead Training Topics covered : Introduction to Free software, Machine Learning (Basics, Python Core-Data types, operators, Conditions, Loops

    2026-07-06
  7. ICFOSS - Event Details

    icfoss.in › event-details › 200

    Program] ICFOSS is pleased to announce an Certificate program in “Machine Learning through FOSS” (Offline), from 2nd November 2024 to 30th November 2024. … 30 Hour Training) Topics : Introduction and Course overview, Python For Machine Learning, Numpy Pandas & Data Preprocessing, Linear regression & Logistics Regression, Naive-Bayes &

    Course
    2026-07-06
  8. ICFOSS - Event Details

    icfoss.in › event-details › 30

    This will also provide opportunities for women so as to bring them to the mainstream, to network with the larger community of learning and to bring new professionals to society. … Schedule : Day 1: Inauguration : ICFOSS, FOSS, G&T Machine Learning: Foundations and Terminology Pre-processing & Feature engineering Python in Data Science Libraries-Numpy, Pandas,

    Event
    2026-07-06
  9. ICFOSS - Event Details

    icfoss.in › event-details › 177

    Rajeev R R (Head e-Governance & Development, ICFOSS) Course Highlights: Live Classes Structured curriculum by industry veterans Customized for time flexibility Custom learning path … Pre requisites: To learn large language models, one should have a solid foundation in programming, especially in Python, machine learning and deep learning basics.

    Course
    2026-07-06