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  2. NIT MCA Common Entrance Test - Wikipedia

    en.wikipedia.org/wiki/NIT_MCA_Common_Entrance_Test

    The NIT MCA Common Entrance Test (NIMCET), is a National Level Test conducted by NITs for admission to their Master of Computer Applications (MCA) programme.The admission to the MCA programme to the nine NITs at Agartala, Allahabad, Bhopal, Jamshedpur, Kurukshetra, Raipur, Surathkal, Tiruchirappalli (Trichy), Warangal, Patna and IIIT Bhopal for the year 2024-25 is based on the Rank obtained in ...

  3. Motilal Nehru National Institute of Technology, Prayagraj

    en.wikipedia.org/wiki/Motilal_Nehru_National...

    The institute now offers MTech degree programs, MCA, MSc Mathematics and Scientific Computing courses and registers candidates for PhD degrees. The institute has been recognized by the Government of India as a center for the quality improvement program in Civil and Mechanical Engineering.

  4. Résumé - Wikipedia

    en.wikipedia.org/wiki/Résumé

    A hybrid or combination résumé combines the best of the reverse chronological and functional resume formats. Opening with a profile or summary to showcase the most relevant information, it often continues with a section of highlights and/or a list of strengths before listing reverse chronological experience and education.

  5. MODCA - Wikipedia

    en.wikipedia.org/wiki/MODCA

    An MO:DCA file consists of a sequential, ordered hierarchy of independent objects - documents, pages, data objects, and resource objects such as fonts and ICC profiles. Each object is delimited by begin/end structures, and objects to be rendered specify presentation parameters and resource requirements in structures called "environment groups".

  6. Multiple correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_correspondence...

    MCA is performed by applying the CA algorithm to either an indicator matrix (also called complete disjunctive table – CDT) or a Burt table formed from these variables. [citation needed] An indicator matrix is an individuals × variables matrix, where the rows represent individuals and the columns are dummy variables representing categories of the variables. [1]

  7. Data profiling - Wikipedia

    en.wikipedia.org/wiki/Data_profiling

    Data profiling utilizes methods of descriptive statistics such as minimum, maximum, mean, mode, percentile, standard deviation, frequency, variation, aggregates such as count and sum, and additional metadata information obtained during data profiling such as data type, length, discrete values, uniqueness, occurrence of null values, typical string patterns, and abstract type recognition.

  8. Medical College Admission Test - Wikipedia

    en.wikipedia.org/wiki/Medical_College_Admission_Test

    In the 1920s, dropout rates in US medical schools soared from 5% to 50%, [11] leading to the development of a test that would measure readiness for medical school. Physician F. A. Moss and his colleagues developed the "Scholastic Aptitude Test for Medical Students" consisting of true-false and multiple choice questions divided into six to eight subtests.

  9. Multiple factor analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_factor_analysis

    In the example, the contribution of individuals 1 and 5 to the inertia of the first axis is 45.7% + 31.5% = 77.2% which justifies the interpretation focussed on these two points. 4. Representations of categories of qualitative variables as in MCA (a category lies at the centroid of the individuals who possess it).