4 Data Science Algorithms Of Mine :proactive linear gravity regression and normal linear grvaity regression and proactive linear oscillation regression and normal linear oscillation regression

what i am adding proactive (1)proactive linear gravity regression and (2)normal linear grvaity regression and (3)proactive linear oscillation regression and (4)normal linear oscillation regression (1) so proactive linear grvaity regression in it use differencet different grviaty spot with each so there is multiple grvaity varibales in which we optimizes theirs spots or loicified in from the line of grviaty here line of grvaaity will have distance nad grvaity module in which spoted point will chnge under these grvaity so multipel mpped grvaity if there is mutliple grvaity is coming in it imgaine massis spoted nad grvaity so spot by the distance from the line iss located by the grviaty module not by the calcuation module means whta grviaty apply over them (2) normal linear gravity regression:--> in normala linear grvaity regression there is grvaity will be in noral tage andd mass will have own gavirty then interact as weight to the grvaity mena dual grvaity (3) proactive lineaar oscillation regression:--> in proactive linear osicllation regression in it line will be oscillator is waves means that decides osccillations of times and spotes will be the times mass when ten when line will osscillates then theyw ill osicllates then come in normal life positioen oscillates or could oillates in for fixed time or they could come in teayd psotion in normla performs (4) normal linear oscillation regression:--> in normal linear osicllation regression there will be oscillation will happen means line will osicllatoor and spot will be oscillates in such that ways will hvae tiny oscillator nd then vibriton of them given tehm steayd states Data science algorithms are computational tools that use mathematical and statistical techniques to analyze data and extract insights. They help researchers make sense of complex datasets and are used in a variety of applications, including: Predictive modeling Recommendation systems Natural language processing Image and video processing Fraud detection Optimization Healthcare

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