Secretary Gam Is Broken

#Whats-wrong-with-the-secretary-Kimestoy viendo el dorama y estoy enamorada espero que el manga lo suban rápido me a encantado la historia

#Whats-wrong-with-the-secretary-Kimy yo como de que mi sueño se hizo realidad 😱😱😱😱😱😱joder que bueno es soñar con el futuro hay que aprovechar el bugg😇😇😇

#Whats-wrong-with-the-secretary-Kimme vi todo el dorama me encanto y por supuesto voy a leer el manhawa sin duda alguna gracias por actualizar 😙😙😙

#Whats-wrong-with-the-secretary-Kimahh ppr fin, lo he estado esperando.
Sigan actualizando por favor.
Muchas gracias por su trabajo. 😍

#Whats-wrong-with-the-secretary-Kimguapo con éxito fama dinero... y piensa en la Srta Kim!!!... lo k tendrá k aguantar la secretaria!!!! jjjjj seguid por faaa

#Whats-wrong-with-the-secretary-Kimesto se pone mas bueno con cada capitulo... porque no se casa con ella d una vez jjj

#Whats-wrong-with-the-secretary-KimMe vi el dorama es pero que el mawhua sea igual de Bueno y que sea más candente

#Whats-wrong-with-the-secretary-KimEstoy haciendo todo el trabajo, desde reunir los raw, cleaner, edit y redraw... así que paciencia.
Subiré un capítulo semanal.

#Whats-wrong-with-the-secretary-Kimwuao acabo de ver el drama me encantó ahora seguiré este webtoon me encantó el capítulo gracias

#Whats-wrong-with-the-secretary-KimMirar el drama vale muchísimo la pena , "que le ocurre a la secretaria Kim" lo podeis ir buscar en estrenos doramas o Viki ( Viki tiene mucho anuncios) es super gracioso y el protagonista demasiado bellooo❤️❤️❤️❤️♥️

#Whats-wrong-with-the-secretary-Kimay esta bonito la trama, ahora mismo me ire directo a ver el drama, pero sigan subiendo los caps, me fio mas del original.

Gracias por la traduccion.

#Whats-wrong-with-the-secretary-Kimacabo de ver el drama coreano que el sucede a la secretaria kim y estuvo buenisimo y ahora leer el manga sera genial sigan actualizando por favor

Beginner’s Guide For The Data Scientist ?

data Science is a mix of different instruments, calculations, and AI standards to find concealed designs from crude information. What makes it not quite the same as measurements is that information researchers utilize different high-level AI calculations to distinguish the event of a specific occasion from now on. An Information Researcher will take a gander at the information from many points, some of the time points not known before.


data Perception

Information Perception is one of the main parts of information science. It is one of the fundamental apparatuses used to investigate and concentrate on connections between various factors. Information perception apparatuses like to disperse plots, line diagrams, bar plots, histograms, Q-Q plots, smooth densities, box plots, match plots, heat maps, and so on can be utilized for enlightening examination. Information perception is additionally utilized in AI for information preprocessing and examination, highlight determination, model structure, model testing, and model assessment.


Exceptions data science course in pune


An exception is a piece of information, that is totally different from the dataset. Exceptions are many times simply terrible information, made because of a broken down sensor, debased examinations, or human mistake in recording information. At times, exceptions could show something genuine like a glitch in a framework. Anomalies are extremely normal and are normal in enormous datasets. One familiar method for distinguishing exceptions in a dataset is by utilizing a container plot.


data Ascription

Most datasets contain missing qualities. The most straightforward method for managing missing information is just to discard the data of interest. Different addition procedures can be utilized for this reason to assess the missing qualities from the other preparation tests in the dataset. One of the most widely recognized addition methods is mean attribution where the missing worth is supplanted with the mean worth of the whole component section.


Information Scaling

Information scaling works on the quality and prescient force of the information model. Information scaling can be accomplished by normalizing or normalizing genuine esteemed info and result factors.
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There are two sorts of information scaling accessible standardization and normalization.



Head Part Examination

Huge datasets with hundreds or thousands of highlights frequently lead to overt repetitiveness particularly when elements are connected with one another. Preparing a model on a high-layered dataset having an excessive number of elements can at times prompt overfitting. Head Part Examination (PCA) is a factual strategy that is utilized for include extraction. PCA is utilized for high-layered and related information. The essential thought of PCA is to change the first space of elements into the space of the important part.


Direct Discriminant Investigation

The objective of the direct discriminant investigation is to find the component subspace that enhances class distinctness and diminishes dimensionality. Thus, LDA is a directed calculation.

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Information Apportioning

In AI, the dataset is frequently divided into preparing and testing sets. The model is prepared on the preparation dataset and afterward tried on the testing dataset. The testing dataset hence goes about as the concealed dataset, which can be utilized to gauge a speculation blunder (the mistake expected when the model is applied to a genuine world dataset after the model has been sent).


Regulated Learning

These are AI calculations that perform advancing by concentrating on the connection between the component factors and the known objective variable. Administered learning has two subcategories like ceaseless objective factors and discrete objective factors.




In unaided learning, unlabeled information or information of obscure construction are managed. Utilizing solo learning strategies, one can investigate the design of the information to extricate significant data without the direction of a known result variable or prize capability. K-implies bunching is an illustration of an unaided learning ca

#Whats-wrong-with-the-secretary-Kimpor favor no la de ejes ir amarrala si es lo que quieres no encontraras alguien a su altura .... Yo quiero mas capítulos por favor sigan actualizandolo

#Whats-wrong-with-the-secretary-KimNo sé cómo llegué aquí... pero me gusta :U iré a comprarme el dorama, no aguantaré la espera

Me enoja este tipo :U en serio

#Whats-wrong-with-the-secretary-Kimjajajajaja apenas termine de ver el dorama.... y de causalidad me encuentro su manga jajaja lo voy a ver, espero que este genial igual que el dorama

#Whats-wrong-with-the-secretary-Kimxfin la subieron estaba Muriéndome x leer el manga después d ver el dorama..

xsi no lo saben este manga tiene un dorama con el mismo nombre esta disponible en youtube, doramatv, estrenlsdoramas

#Whats-wrong-with-the-secretary-Kimme gusto el manga se ve interesante 😊😊😊
leeyento los comentarios me entero q hay dorama 😮
xfavor como se llama el dorama🙇🙇🙇xfavoorrr
sigan actualisanto

#Whats-wrong-with-the-secretary-KimTengo ganas del siguiente capítulo!!! Se ve muy interesante!!! Lo espero con muchas ansias ver cómo acaba esto, si ella al final renuncia y tal 😆😆😆.

Gracias por traducir!!!

#Whats-wrong-with-the-secretary-KimComo son buenas chicas subo hoy otro capítulo aún cuando dije que subiría una semanal.
Sus estrellas, alientos y agradecimientos han hecho que me esfuerce más, así que subiré 2 semanales hasta ponerme al corriente. Gracias 😚😚😚
(ps. Subire miércoles y viernes a partir de la próxima semana)